NLTK & Chatbots 2018


Wikipedia:

See also:

100 Best NLTK VideosAutomated Theorem Proving (Automated Deduction) | NLTK & Dialog Systems 2017


Developing Chatbots
NK Manaswi – Deep Learning with Applications Using Python, 2018 – Springer
… from mitie.mitie import *. from nltk.tokenize import word_tokenize. print(“loading NER model…”). ner = named_entity_extractor(“mitie/MITIE-models/english/ner_model.dat … Reponses are another important part of chatbots. Based on how a chatbot replies, a user may get attracted to …

Using Chatbots to Assist Communication in Collaborative Networks
C Frommert, A Häfner, J Friedrich, C Zinke – Working Conference on …, 2018 – Springer
… 1 illustrates the benefits of chatbots for organizational processes as it combines data from several users to … the input sentences should be stemmed to match each other using the Python NLTK package … the defined goal and show the benefits of an integration of a chatbot within an …

User adaptive chatbot for mitigating depression
P Kataria, K Rode, A Jain, P Dwivedi… – International Journal of …, 2018 – acadpubl.eu
… Chatbots tend to fail when encountered with an unknown state- ment … braces, beautifulsoup4, django model utils, uvloop, websockets, wheel, tensorflow, tensorflow-gpu, numpy, nltk, tqd … We are de- veloping a chatbot system which will act as a minimal psychiatrist reaching out to …

Anomaly detection for short texts: Identifying whether your chatbot should switch from goal-oriented conversation to chit-chatting
A Bakarov, V Yadrintsev, I Sochenkov – International Conference on Digital …, 2018 – Springer
… the purpose of their use: there are so-called general conversation agents, or chatbots which do … issue comes when one wants to extend the conversational agents to a chatbot, ie to … our experiments the data was lemmatized and cleared from stop-words using NLTK stopword lists …

Automatic Web-Based Question Answer Generation System for Online Feedable New-Born Chatbot
SA Abdul-Kader, J Woods, T Thabet – Science and Information Conference, 2018 – Springer
… Chatbots can assist in human computer interaction and they have the ability to examine and influence the … The new born Chatbot has an empty knowledgebase and it is considered to be born when its … cases (Q lead to A or A lead to Q) are the same, such as: NLTK, ngrams, and …

The Hybrid Chatbot System Combining Q&A and Knowledgebase Approaches
Y Gapanyuk, S Chernobrovkin, A Leontiev, I Latkin… – ceur-ws.org
… and stored in the session because words ‘green’ and ‘pencil’ are in the same subtree of the NLTK parse tree … A.: Build Better Chatbots … 2018) 2. Microsoft QnA Maker official site, available at: https://qnamaker.ai/ 3. Ranoliya, BR, Raghuwanshi, N., Singh, S.: Chatbot for university …

Personalized Exercise Training Chatbot based on Wearable Fitness devices
Z Xiong – 2018 – krex.k-state.edu
… Next, I describe the design of a data-driven ”personal trainer” chatbot. I then develop a prototype persuasion system based on interactive dialogs delivered via a front-end application, that collects data from wearable … 15 4 The Me Agent based on NLTK …

Intrusive Plug Management System Using Chatbots in Office Environments
D Ramasubbu, K Baskaran… – 2018 Asian Conference …, 2018 – ieeexplore.ieee.org
… This work aims to explore a different use case of chatbots in various office environments to … Only message events that have an explicit reference to the chatbot is considered for further … The Natural Language Toolkit (NLTK) [20] is used to process the received text; from defining an …

Intelligent Chatbot For Analysis And Diagnosis Of The Psychiatric Disorders
LJ de Moura, MA Rossi – researchgate.net
… be Schizophrenia. The chatbot will be developed based on ANN (Artificial Neural Network), it is a Machine Learning tool, implemented in Python language and will use some libraries as PyBrain and NLTK. The custom library …

Chat Bot Natural Language Understanding
S Rozga – Practical Bot Development, 2018 – Springer
… Ask Ray | Response to announcement of chat bot Eugene Goostman passing the Turing test … www.kurzweilai.net/ask-ray-response-to-announcement-of-chatbot-eugene-goostman … Learning, NLP: Text Classification using scikit-learn, python and NLTK: https://towardsdatascience …

Automated Scoring of Chatbot Responses in Conversational Dialogue
SK Yuwono, W Biao, LF D’Haro – pdfs.semanticscholar.org
… 5.2 Setup There are 11 datasets (from many different chatbots) released by WOCHAT … We tokenized the sentences using NLTK [20], and lowercase the text … Table 2 The number of annotated chatbot turns for each dataset 0.0 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1.0 945 …

Review of Chatbots Design Techniques
NA Ahmad, MH Che, A Zainal, MFA Rauf… – International Journal of … – researchgate.net
… This technique used NLP functions such as trees in Phyton NLTK. • SQL and relational database: it is a recent technique used in chatbots to ensure chatbots remember previous conversations. The algorithm from SQL-based chatbot used to enhance the capability of chatbot?s …

Implementation of a Chat Bot System using AI and NLP
T Lalwani, S Bhalotia, A Pal, S Bisen, V Rathod – 2018 – researchgate.net
… WordNet from Python’s “nltk” package was used for this purpose … [8] Yash Mehta, Shreya Sawkar, “The college chatbot”, International Journal … K. Bala, Mukesh Kumar, Sayali Hulawale, Sahil Pandita, “Chat-Bot For College Management System Using AI”, International Research …

The Design and Implementation of a Chatbot’s Character for Elderly Care
WD Liu, KY Chuang, KY Chen – 2018 International Conference …, 2018 – ieeexplore.ieee.org
… Chatbots can be classified into using categories such as conversational commerce, analytics, communication, education, marketing, shopping, personal, social, news … A. Python Software In the open source data of Python, we use NLTK library to train a chatbot and process …

Building Chatbots with Python
S Raj – Springer
… Nitin Solanki has extensive experience in Natural Language Processing, Machine Learning, and Artificial Intelligence Chatbot development. He has developed AI chatbots in various domains, such as healthcare, e-commerce, education and law firms, and more …

Focused domain contextual AI chatbot framework for resource poor languages
A Paul, A Haque Latif, F Amin Adnan… – Journal of Information …, 2018 – Taylor & Francis
… (2017). Create AI chat bot for Facebook. [online] Retrieved from https://chatfuel.com/ [Google Scholar]), Flowxo (2017 Flowxo.com. (2017). Flow XO: Chatbot platform with easy-to-use editor and 100+ integrations … (2017). Motion AI – Chatbots made easy. [online] Motion.ai …

Comparative Study of Topology and Feature Variants for Non-Task-Oriented Chatbot using Sequence to Sequence Learning
G Dzakwan, A Purwarianti – 2018 5th International Conference …, 2018 – ieeexplore.ieee.org
… c. For word-based feature, it will split the sentence into word tokens using nltk.tokenize. word_tokenize library … Available: https://chatbotslife.com/nlp-nlu- nlg-and-how-chatbots-work- dd7861dfc9df … [3] A. Xu, Z. Liu, Y. Guo, V. Sinha, R. Akkiraju, “A New Chatbot for Customer …

State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… Figure 1.2: The number of publications containing the terms “chatbot”, “chatterbot”, “chat-bot” or “chat bot … to create, host and integrate chat-bot applications, eg using Microsoft’s Bot Framework8 or IBM’s … to get an overview over the current state-of-the-art in the field of chat-bots …

Developing a Chatbot for Customer Service to Metropolia UAS Student Affairs Office
S Merisalo – 2018 – theseus.fi
… bot include adding at least NLP to it, perhaps also more AI / Machine Learning in the … process of the chatbot designed to the client. 3.1 History of Chatbots Chatbot as a term has been out there much longer than these few years it has been on the top of the hype …

Virtual conversational assistant:’The FARMBOT’
L Kannagi, C Ramya, R Shreya… – International Journal of …, 2018 – ijetsr.com
… Farmer or any other user can negotiate the price for the crops using the chat bot … and then the stop words (like is, the) are removed using the NLTK Corpus … CHATBOT DEVELOPMENT AND TRAINING The dataset file containing hundreds of agricultural queries and their …

Which text-mining technique would detect most accurate user frustration in chats with conversational agents?
H Hinrichs, NT Le – Proceedings of the 32nd International BCS Human …, 2018 – dl.acm.org
… In European conference on machine learning, Springer, 174–189. 14. Loper, E. and S. Bird (2002): NLTK: The natural language toolkit … American scientist, 89, 344–350. 22. Ramos, R. (2017): Screw the Turing Test – Chatbots don’t need to act human …

Elephant 2000: A Programming Language for Remembering the Past and Building on It
KJ Holmes – 2018 – ideaexchange.uakron.edu
… First the NLTK chat corpus is downloaded from their site, it is then loaded into the program and fed … more data to train with, however this level of accuracy is sufficient for this implementation. For the chat bot, Tensor Flow was used to create the model …

Making Personalized Recommendation through Conversation: Architecture Design and Recommendation Methods
S Lee, R Moore, GJ Ren, R Arar, S Jiang – Workshops at the Thirty-Second …, 2018 – aaai.org
… main focus is limited on the interaction between a recommender system and chat- bots in the … While current major chatbots and virtual assistant platforms vary, most use the same general … family and existing entities are com- puted using WordNet corpus in NLTK python module …

Cross-lingual Short-text Matching with Deep Learning
AT Hadgu – arXiv preprint arXiv:1811.05569, 2018 – arxiv.org
… is one of the most common and important tasks when designing and developing such chatbots … if an English sentence in the unlabeled data matches a sentence in 3https://www.nltk.org … This prob- lem is quite useful for applications such as chat-bots and question answering sites …

NLP in OTF Computing: Current Approaches and Open Challenges
FS Bäumer, M Geierhos – International Conference on Information and …, 2018 – Springer
… 5. NL software requirement compensation via chat bot [13]. 5 Conclusion … 3. Visit https://www.nltk.org for more information. Notes … Friesen, E., Bäumer, FS, Geierhos, M.: CORDULA: software requirements extraction utilizing chatbot as communication interface. In: Schmid, K …

Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics
T Conley, JS Clair, J Kalita – cs.uccs.edu
… ANN-based Seq2Seq models have been used by many recent chatbots (Vinyals and Le, 2015; Li et al … 1https://github.com/pender/chatbot-rnn … true NLP standard modules such as WordNet (Fellbaum, 1998), GloVe (Pennington, Socher, and Manning, 2014), NLTK (Loper and Bird …

Laughbot: Detecting Humor in Spoken Language with Language and Audio Cues
K Park, A Hu, N Muenster – Future of Information and Communication …, 2018 – Springer
… Chatbots Spoken natural language processing Deep learning Machine learning. Download conference paper PDF … Sentiment: we utilized NLTK’s vader toolkit to extract sentiment from the punchline … during our research and testing, predicting humor using a chatbot-style audio …

Practical bot development: designing and building bots with Node. js and Microsoft Bot Framework
S Rozga – 2018 – books.google.com
… been taking a stab at creating the best and easiest-to-use chatbot development frameworks … Microsoft’s Bot Framework remains the best platform for developing powerful, fast, and flexible chatbots. I am thrilled to take you on a journey through chat bot development using this tool …

Neural Response Ranking for Social Conversation: A Data-Efficient Approach
I Shalyminov, O Dušek, O Lemon – arXiv preprint arXiv:1811.00967, 2018 – arxiv.org
… it possi- ble to collect large numbers of dialogues between real users of Amazon Echo devices and various chatbots … Dirichlet Allocation (LDA) model (Hoff- man et al., 2010); • sentiment polarity, as computed by the NLTK Vader sentiment … A deep reinforcement learning chatbot …

Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection
A San – Proceedings of The 12th International Workshop on …, 2018 – aclweb.org
… In chatbots, if a chatbot misinterprets an unhappy sarcastic com- ment from a customer, the customer could become even more frustrated … We use NLTK (Bird and Loper, 2004) to get sen- timent scores using the SentiWordNet (Esuli and Sebastiani, 2007) corpus …

Multi-task learning to improve natural language understanding
S Constantin, J Niehues, A Waibel – arXiv preprint arXiv:1812.06876, 2018 – arxiv.org
… For both datasets, we alphabetically sorted the parameters to ease the learning process. 4 https://www.nltk.org/ 5 available at https://github.com/yvchen/JointSLU … Association for Computational Linguistics (1990) [12] Senellart, J.: English chatbot model with opennmt (2009) …

LSDSCC: A large scale domain-specific conversational corpus for response generation with diversity oriented evaluation metrics
Z Xu, N Jiang, B Liu, W Rong, B Wu, B Wang… – Proceedings of the …, 2018 – aclweb.org
… So, it is possible to build Chat-bots based on data-driven approaches (Ser- ban and Pineau, 2015) … After the sentences are tokenized using the NLTK toolk- its4, the cases with queries longer than 100 or re- sponses exceeding 60 words are pruned directly, and 76.25% of the …

Advanced Analytics with TensorFlow
KG Srinivasa, KG Srinivasa – Network Data Analytics: A Hands-On …, 2018 – Springer
… 283 Page 2. • Language Translation, • Speech Recognition, • Sentiment Analysis, • Text Summarization, • Object detection in images and videos, • Chatbots and virtual … 14.4.1 Preprocessing Initially, the text in the spam dataset is preprocessed using the nltk module in …

Double embeddings and cnn-based sequence labeling for aspect extraction
H Xu, B Liu, L Shu, PS Yu – arXiv preprint arXiv:1805.04601, 2018 – arxiv.org
… This is especially important when the model is deployed in a real-life application (eg, chatbot), where a complex model will slow down the speed of infer- ence … We use NLTK3 to tokenize each sentence into a sequence of words …

A Linguistic Approach to Short Query and Answer Systems
DA de Araujo, AR Hentges, S Rigo – … of the XIV Brazilian Symposium on …, 2018 – dl.acm.org
… A solução apresentada propõe-se a superar as principais restrições dos chatbots baseados em casamento de … interação entre o usuário eo chatbot; (2) o analisador de diálogo, que extrai um conjunto de … O acesso à Wordnet se dá através das bibliotecas nativas do NLTK …

Automatic online fake news detection combining content and social signals
ML Della Vedova, E Tacchini, S Moret… – … 22nd Conference of …, 2018 – ieeexplore.ieee.org
… Second, we implement our method within a Facebook Mes- senger chatbot and validate it with an external and independent set of fake and real news shared on the SNS to simulate a real- world … We used the Porter Stemmer (available at http://www.nltk.org/) in this case …

A Bilingual Interactive Human Avatar Dialogue System
DA Ali, M Ahmad, H Al Hassan, P Dozsa, M Hu… – Proceedings of the 19th …, 2018 – aclweb.org
… TOIA is a conversational agent, similar to a chat bot, except that it is based on an actual hu- man being and can be used to preserve and tell stories … 244 Kit (NLTK) (Bird et al., 2009). For Arabic, we use the Standard Arabic Morphological Analyzer (SAMA) (Graff et al., 2009) …

Analysis, discovery and exploitation of open data for the creation of question-answering systems
G Molina Gallego – 2018 – rua.ua.es
… 13 4.2.2 Natural Language Toolkit (NLTK) … Chatbots have been become more popular from the last two decades, actually, many companies use these systems to have feedback about their products … To better understand the potential of a chatbot, it is needed to know their origin …

Practical Bot Development
S Rozga – Springer
… phone. The third section addresses a few additional topics that are essential to chat bot development. Chapter 10 adds extra intelligence abilities to our chat bots by focusing on a select set of Microsoft’s Cognitive Services. Chapter …

Configuring a quotation through a conversational agent
F Gundersen – 2018 – theseus.fi
… Since these commands are the vital part on how a IRC- bot works, it is safe to categorize it as a command system. [3] … Neural networks have been used on multiple occa- sions to create a chatbot, however they are commonly used in closed-domain chatbots …

From Emoji Usage to Categorical Emoji Prediction
G Guibon, M Ochs, P Bellot – … and Intelligent Text …, 2018 – hal-amu.archives-ouvertes.fr
… Then we applied lemmatization to the words using NLTK … The methodology and resources can be used to recommend the emotion cat- egories to express by an embodied conversational agent or in general dialog system, such as trending chatbots …

A corpus of corporate annual and social responsibility reports: 280 million tokens of balanced organizational writing
SGM Händschke, S Buechel, J Goldenstein… – Proceedings of the First …, 2018 – aclweb.org
… eg, portals, helps desks, newsgroups) and trans- action support systems based on natural lan- guage communication (including business chat bots) (Cui et al … After corpus construction, we used NLTK.org tools (Bird, 2006) for counting tokens and sen- tences for all of the reports …

Deep Learning with Applications Using Python
NK Manaswi, NK Manaswi, S John – 2018 – Springer
… 146 Designs and Functions of Chatbots …..146 Steps for Building a Chatbot …..147 Preprocessing Text and Messages …..148 …

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Z Nagy – 2018 – books.google.com
… Similarly, when we interact with a chatbot, we expect the botto understand us. We expect the chatbot or even a voice recognition system to provide a computer-human interface that fulfills our expectations … Using a text interface, an interrogator chats to a human and a chatbot …

Aptitude Question Solver: AptitudeQS
M Mustafa, RA D’souza, H Deepthi, TB Jeevan… – SahyadriJournal of … – sijr.in
… MathWay is an interactive chat bot application which tries to solve mathematical word problems but the problem here is that we must choose … each query in the training data T. For each query, the algorithm tokenizes it, using the word_tokenize method of NLTK Python package …

A 20% Jump in Duplicate Question Detection Accuracy? Replicating IBM team’s experiment and finding problems in its data preparation
J Silva, J Rodrigues, V Maraev, C Saedi, A Branco – META – lrec-conf.org
… Both tasks have been useful to support conversational interfaces and chat- bots, in general, and online question & answering (Q&A) community forums, in … Regarding data preprocessing, the authors specify that NLTK (Bird et al., 2009) was used for tokenization and that all links …

Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists
A Gungor – 2018 – scholarworks.iupui.edu
… University Challenge organized by Roche. We have created a data driven and visu- ally stunning chatbot. Thank you team, for your hard work and making our time at Purdue worthwhile. Page 5. v … by utilizing “part of speech”. Python’s NLTK library can be deployed for this task …

Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking
AC Curry, I Papaioannou, A Suglia, S Agarwal… – m.media-amazon.com
… As such, our social chatbot was designed to have the following behaviour … 6. Sentiment Analyser: we used the Sentiment Analyser provided by the NLTK library 3 7. Entity Linker: we exploit a custom version of the Fast Entity Linking service (see Section 3.1.2 for details) to find …

Aspect-based question generation
W Hu, B Liu, J Ma, D Zhao, R Yan – 2018 – openreview.net
… Since questioning is an important communication skill, question generation plays an important role in both general-purpose chatbot systems and goal-oriented … noise problem, (1) we explore a pre-decode mechanism in Section 4.3; (2) we remove the stop words using NLTK1 (a …

Supervised question answering system for technical support
S Shim, G Chodwadia, K Jain, C Patel… – 2018 IEEE 8th …, 2018 – ieeexplore.ieee.org
… Moreover, text chatting is itself recording conversation and so can be easily logged, indexed and searched. A QA system can serve the chatbot with relevant answers in respect to a certain domain or specific topic … The data was cleaned using python bs4, nltk …

Machine Learning with Swift: Artificial Intelligence for IOS
O Sosnovshchenko, O Baiev – 2018 – books.google.com
… 266 Word2Vec in Gensim 269 Vector space properties 269 iOS application 270 Chatbot anatomy 271 … We’re also going to use neural networks to build several chatbots with different personalities … 6+ with TensorFlow 1.1.0+ backend keras-vis 0.4.1+ NumPy 1.13.3+ NLTK 3.2.4 …

Classifying Urgency: A Study in Machine Learning for Classifying the Level of Medical Emergency of an Animal’s Situation
D Strallhofer, J Ahlqvist – 2018 – diva-portal.org
… order to not confuse the classifier. In order to accomplish this, a Swedish stopword list was imported from nltk.corpus [17] and every user text was parsed, removing any instance of the stopwords. A stemmer is an algorithm that …

Conversational agent as kitchen assistant
B Rystedt, M Zdybek – 2018 – diva-portal.org
… Sentiment based Chatbots … The Natural Language Processing part in the paper was implemented with help of Python package NLTK which uses a statistical method named Naive Bayes classifying, somewhat similar to the method in the … Chatbot trained on movie dialogue …

Learning semantic similarity in a continuous space
M Deudon – Advances in Neural Information Processing Systems, 2018 – papers.nips.cc
… semantic similarity between pairs of sentences is an important problem in Natural Language Processing (NLP), for conversation systems (chatbots, FAQ), knowledge … We implemented our model using python 3.5.4, tensorflow 1.3.0 [42], gensim 3.0.1 [43] and nltk 3.2.4 [44] …

Text Generation, Machine Translation, and Other Recurrent Language Modeling Tasks
T Beysolow II – Applied Natural Language Processing with Python, 2018 – Springer
… People who have worked with NLTK or similar packages have likely come across the name entity … One popular application of deep learning to NLP is the chatbot. Many companies use chatbots to handle generic customer service requests, which require them to be flexible in …

Employment Law Expert System
P Seeam, N Teckchandani, H Booneyad… – … on Intelligent and …, 2018 – ieeexplore.ieee.org
… One of the first methods of evaluating a chatbot or conversational model was the Turing test [17] … In order to do so, the Python Natural Language Tool Kit (NLTK) [24] was used. The NLTK converted the data from the Knowledge Base and passed it through the DNN …

Between the Lines: Machine Learning for Prediction of Psychological Traits-A Survey
D Johannßen, C Biemann – … Domain Conference for Machine Learning and …, 2018 – Springer
… [12]. The dataset originated from a clinical study at the MIT and can be implemented as chatbot service. It offers 106,000 labeled posts, with and some without crisis … [19] used SRILM for 4-gram modeling for language generation of life-changing events. 3.3 Frameworks. NLTK …

Unfolding Recurrent Neural Networks
P Goyal, S Pandey, K Jain – Deep Learning for Natural Language …, 2018 – Springer
… The same model could be used for chatbots, language translation, and other related purposes … Importing the required packages. import os. import re. import csv. import codecs. import numpy as np. import pandas as pd. import nltk. from nltk.corpus import stopwords …

Trending Topics on Science, a tensor memory hypothesis approach
F Torres – Proceedings of the 4th Congress on Robotics and …, 2018 – ceur-ws.org
… If well, knowledge graphs are of extended use on question answering and chatbots, they need a previous relational schema generated … abstracts were tokenized and semantically tagged, using nltk library, to extract the adjectives and nouns that are considered the principal …

Challenges and opportunities of applying natural language processing in business process management
H Van der Aa, J Carmona Vargas… – COLING 2018: The …, 2018 – upcommons.upc.edu
… et al., 2014), FreeLing (Padró and Stanilovsky, 2012), Apache OpenNLP1, or NLTK (Bird et al … An example of this is chatbot-aided troubleshooting (Acomb et al., 2007), where artificial … So far, knowl- edge representation in such chatbots comprises several components like natural …

A Dialogue Annotation Scheme for Weight Management Chat using the Trans-Theoretical Model of Health Behavior Change
R Manuvinakurike, S Bharadwaj, K Georgila – arXiv preprint arXiv …, 2018 – arxiv.org
… For this reason there are benefits in pursuing the development of automated chat bots that can engage users … It is important to note that we do not claim that such a chat bot could replace … We used the NLTK toolkit for lemmatization (Loper and Bird, 2002) and removed stop words …

Development of a web application for an automated user assistant
V Giakoumakou – 2018 – repository.ihu.edu.gr
… AIML models patterns of dialogs and enables chatbots to respond to anything that is related to an associated pattern … Dependency Parsing: In the dependency parsing step, a chatbot system searches in … dependency or relation [20]. Natural Language Toolkit (NLTK) …

Virtual assistant with natural language processing capabilities
C Mas – 2018 – upcommons.upc.edu
… 12 1.2. Type of Chatbot … First, the definition of Chatbot is exposed, then the various types of Chatbots are described in order to understand which type is more appropriate and why …

Automatic IQ estimation using stylometry methods.
PS Abramov – 2018 – ir.library.louisville.edu
… research. An additional fourth index is calculated using our own python script that utilizes NLTK library [28] … The calculation of the features on the training dataset was performed by our proprietary analytical program implemented in python using NLTK library and …

Text Summarization using Natural Language Processing
Z Luo – 2018 – cs.wpi.edu
… 9 2.5.2 NLTK ….. 9 … from customers with human written solutions. The KB contains over twenty thousand articles. The company is currently developing a chatbot to provide 24×7 fast assistance on customer questions …

Finding Good Representations of Emotions for Text Classification
JH Park – arXiv preprint arXiv:1808.07235, 2018 – arxiv.org
… a friend and making a conversation. When training NLP models, such as chatbots, things do not always go as intended. Famous incident of Microsoft chatbot Tay, which learned directly from users’ tweets with- out any filtering …

Deep Neural Language Generation with Emotional Intelligence and External Feedback
V Srinivasan – 2018 – search.proquest.com
… First, an analysis of a conversation with a human occurs to detect the sentiment. Next, the chatbot uses that information to come up with a relevant answer that is also emotionally appropriate. As the chatbots become emotionally in tune, people could have more fun chatting …

Can You be More Polite and Positive? Infusing Social Language into Task-Oriented Conversational Agents
YC Wang, R Wang, G Tur, H Williams – alborz-geramifard.com
… order to have human-like and extended conversations, some researchers have studied how to incorporate social language into chatbots to generate … Messages were tokenized with the NLTK toolkit [4]. We replaced URLs, email addresses, names, dates, and numbers with tags …

Introduction to Natural Language Processing and Deep Learning
P Goyal, S Pandey, K Jain – Deep Learning for Natural Language …, 2018 – Springer
… Keras ( https://keras.io/ ). Python Natural Language Processing: Spacy ( https://spacy.io/ ). NLTK ( www.nltk.org/ ) … This can determine whether a word or word-group represents a place, organization, or anything else. Chatbot. The most talked-about application of NLP is Chatbot …

Fact or Fiction
A Lu, CJ Lovering, N Dinh, C Tri, T Nguyen, H Bui – 2018 – digitalcommons.wpi.edu
… NLTK Natural Language Toolkit … LUIS can also be used to get sentiment scores on entities, provide a framework to build chatbots upon, and is multilingual. Any client application that converses with users, such as a dialog system or a chatbot, can pass user input to a LUIS app …

Detecting Malicious Windows Commands Using Natural Language Processing Techniques
MM Yamin, B Katt – International Conference on Security for Information …, 2018 – Springer
… We used python with (NLTK) natural language processing toolkit [17] to develop the classifier … We used natural language processing techniques developed for chat bots sentence classification to classify malicious obfuscated CMD commands …

Sentiment Analysis on Twitter Social Media using Lexicon Based Method
EOO EDREES – 2018 – repo.uofg.edu.sd
… ML Machine Learning NLP Natural Language Processing NLTK Natural language Toolkit OP Opinion Mining POS Parts of speech … 2.9.1.6 Wordlist Corpora NLTK includes some corpora that are nothing more than wordlists. The Words Corpus is used by some spellcheckers …

MCAEM: mixed-correlation analysis-based episodic memory for companion–user interactions
J Zhang, J Zheng, NM Thalmann – The Visual Computer, 2018 – Springer
… The word attributes are extracted from user speeches using, NLTK 7 which provides functionalities of tokenization, stemming, tagging, parsing and … out that Sophie without our memory component still has a certain ability of knowledge learning provided by an AIML 2.0 chatbot …

A Bi-Encoder LSTM Model for Learning Unstructured Dialogs
D Shekhar – 2018 – digitalcommons.du.edu
… model and the neural network language model. We also describe the current state-of-the- art in vector representation of words and current research in chatbot systems. We describe … community NLTK Corpora: The Natural Language Toolkit, or NLTK, is a suite of libraries and …

Translating Natural Language Sentences into Database Query
E Varsha, PC Rafeeque – 2018 International Conference on …, 2018 – ieeexplore.ieee.org
… The applications of such a system are numerous. It can be used for Natural language search, Intelligent chat-bots, Question- Answering etc. For example, consider a question answering Page 2 … NLTK and word net is used for processing the query …

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
R Arumugam, R Shanmugamani – 2018 – books.google.com
… Summary Chapter The Question-Answering 9: Question-Answering task and Chatbots Using Memory … Evaluating the chatbot on the testing set Interacting with the chatbot Putting it … of machine translation Statistical machine translation English to French using NLTK SMT models …

AirDialogue: An environment for goal-oriented dialogue research
W Wei, Q Le, A Dai, J Li – Proceedings of the 2018 Conference on …, 2018 – aclweb.org
… Talk and Walk (de Vries et al., 2018) 80 2 Dialogue Generation 10,000 Negotiation Chatbot (Lewis et al., 2017) 3 7 × 3 Dialogue Generation Dialogue Self-play 5,808 Frames (El Asri et al., 2017) Unknown 20 Dialogue Generation State Tracking 1,369 …

Applied Software Tools for Supporting Children with Intellectual Disabilities
A Abualsamid – 2018 – stars.library.ucf.edu
… on conversational chatbots that assist children with special needs while utilizing a model of the Page 5. iv world curated by their caregivers. We validated the framework by simulating an interaction between a prototype chatbot that we developed, a child with special needs, and …

Deep Learning for Natural Language Processing
P Goyal, S Pandey, K Jain – 2018 – Springer
… Natural Language Processing Libraries …..20 NLTK …..20 … 171 Why Are Chatbots Such a Big Opportunity … Building a Chatbot Can Sound Intimidating …

Quality Assessment of Conversational Agents: Assessing the Robustness of Conversational Agents to Errors and Lexical Variability
J Guichard – 2018 – diva-portal.org
… services, serve as virtual assistants, or take part in social conversations. In recent years, these agents, also known as chatbots, have become more and more popular. Many companies see them as a cost effective and viable …

Analyzing and Predicting Emoji Usages in Social Media
P Zhao, J Jia, Y An, J Liang, L Xie, J Luo – Companion of the The Web …, 2018 – dl.acm.org
Page 1. Analyzing and Predicting Emoji Usages in Social Media Peijun Zhao zhaopeijun0328@163.com Department of Computer Science and Technology, Tsinghua University Key Laboratory of Pervasive Computing, Ministry …

DialogWAE: Multimodal response generation with conditional wasserstein auto-encoder
X Gu, K Cho, J Ha, S Kim – arXiv preprint arXiv:1805.12352, 2018 – arxiv.org
… In the GAN phase, 2https://www.nltk.org/_modules/nltk/translate/bleu_score.html 3https://pytorch.org 6 Page 7 … Modeling situations in neural chat bots. In Proceedings of ACL 2017, Student Research Workshop, pages 120–127, 2017 …

Question Answering over Linked Data: A Feasibility Study
B Verfaillie – 2018 – lib.ugent.be
… A recently new player in the UI are chatbots. Definition 1.1 A chatbot is an intelligent agent, powered by rules and artificial intelligence to have conversations with a human user via text or speech. This paper focusses on the feasibility of a QA system over Linked Data …

Using Sentiment Analysis To Probe The Meaning And Significance Of North Korean Propaganda
BF Peterson – 2018 – researchgate.net
Page 1. Thesis for the Master of Arts in Media Studies School of Media Studies The New School Spring 2018 USING SENTIMENT ANALYSIS TO PROBE THE MEANING AND SIGNIFICANCE OF NORTH KOREAN PROPAGANDA …

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
B Srinivasa-Desikan – 2018 – books.google.com
… analysis and chatbots. In fact, we’ve already touched upon all the methods we will be using for these projects, and this chapter will serve as a guide to how one can put up such an application on their own. In this chapter, we will not be providing the code to build a chatbot or …

Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs
C Coulombe – arXiv preprint arXiv:1812.04718, 2018 – arxiv.org
… noise injection and regular expressions would commonly be used by practioners to augment text data, a bit like hand-crafted rules found in almost all chatbot engines … NLTK library (Natural Language ToolKit) [Bird, Klein & Loper, 2009] which has an high level API for ?Wordnet …

Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
G Larionov, Z Kaden, HV Dureddy… – arXiv preprint arXiv …, 2018 – arxiv.org
… 2014]. VADER has been designed specifically for social media text, which is closer to human dialogue as compared to the data used for training other open source sentiment classifiers such as NLTK [Bird et al., 2009]. Topic …

Natural Language Processing with TensorFlow: Teach language to machines using Python’s deep learning library
T Ganegedara – 2018 – books.google.com
… 356 Defining weights 356 Computing attention 357 Some translation results – NMT with attention 359 Visualizing attention for source and target sentences 361 Other applications of Seq2Seq models – chatbots 363 Training a chatbot 364 Evaluating chatbots – Turing test 365 …

Automatic Poetry Classification Using Natural Language Processing
V Kesarwani – 2018 – ruor.uottawa.ca
… classification. Two tools to generate dependency trees are StanfordCoreNLP (Manning et al., 2014) (from the Stanford NLP Group) and NLTK (Bird et al., 2009) dependency parser … Entity detection are used in automated chat bots, content analyzers, etc …

Polisis: Automated analysis and presentation of privacy policies using deep learning
H Harkous, K Fawaz, R Lebret, F Schaub… – 27th {USENIX} Security …, 2018 – usenix.org
… a visual overview of the different aspects of each privacy policy, a chatbot for answering … 4. Segments are split into to- kens, using PENN Treebank tokenization in NLTK [29] … the policy and the users, especially in conver- sational interfaces (eg, voice assistants and chatbots) …

The First Financial Narrative Processing Workshop (FNP 2018)
M El-Haj, P Rayson, A Moore – 2018 – lrec-conf.org
… Proposed framework is used in our in-house German language banking and finance chatbots. General challenges of German language processing and finance-banking domain chatbot language models and lexicons are also introduced …

Automatic Conversation Review for Intelligent Virtual Assistants
IR Beaver – 2018 – digitalrepository.unm.edu
… that of human reviewers and multiple aspects of system deployment for commercial use are discussed. Page 7. vi Contents List of Figures xiii List of Tables xviii Thesis Statement 1 1 Introduction 2 2 Background 7 2.1 Chatbot or IVA . . . . . 8 …

DynamicSlide: Exploring the Design Space of Reference-based Interaction Techniques for Slide-based Lecture Videos
H Jung, HV Shin, J Kim – Proceedings of the 2018 Workshop on …, 2018 – juhokim.com
… script. We extract sentences from subtitles using NLTK’s sentence tokenizer, after restoring punctuations using an LSTM based punctuation restorator [34]. We … 34]. Then we obtain sentences using NLTK’s sentence tokenizer. The …

Stay on-topic: Generating context-specific fake restaurant reviews
M Juuti, B Sun, T Mori, N Asokan – European Symposium on Research in …, 2018 – Springer
… We used word-level features based on spaCy-tokenization [22] and constructed n-gram representation of POS-tags and dependency tree tags. We added readability features from NLTK [23] … The authors investigated the use of NMT models in chatbot systems …

Contextual Advertising Engine
GAA Rodrigues – 2018 – estudogeral.sib.uc.pt
… Nevertheless, methods to profit this channel hadn’t been much explored. The surface of it is being scratched by Customer Support Chat Bots, but there is still much work to do in order to understand and exploit this channel’s full potential …

Applying Entrepreneurial Teaching Methods to Advanced Technical STEM Courses
I Sidhu, S Iqbal, A Fred-Ojala… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… used by ventures and technology firms today and includes Tensorflow, Scikit-learn, NumPy, SciPy, SQL, Pandas, NLTK, Spark and … for pedestrians, created a working model to classify nanometer material thickness from 2D images, created sales chatbots, created applications to …

Investigations in Computational Sarcasm
A Joshi, P Bhattacharyya, MJ Carman – 2018 – Springer
… The output of our sarcasm generation system obtains high scores on three quality parameters: coherence, grammaticality, and sarcastic nature. Also, the human evaluators are able to sufficiently identify the output of our system from that of a general purpose chatbot …

Sémantická podobnost v?t pro úlohu rozpoznání úmyslu
T Brich – 2018 – dspace.cvut.cz
… working on this thesis. Other thanks belong to the members of the Alquist chat bot team, who kindly provided me with their implementation of an intent recognition system and a dataset to compare it with my results. I would also …

Semantic Sentence Similarity for Intent Recognition Task
T Brich – 2018 – core.ac.uk
… working on this thesis. Other thanks belong to the members of the Alquist chat bot team, who kindly provided me with their implementation of an intent recognition system and a dataset to compare it with my results. I would also …

Deep learning for affective computing: Text-based emotion recognition in decision support
B Kratzwald, S Ili?, M Kraus, S Feuerriegel… – Decision Support …, 2018 – Elsevier
… use of affective computing. Similarly, all systems with human-computer interactions (eg chatbots and personal assistants) could further benefit from emotion recognition and a deeper understanding of empathy. In fact, emotion …

Applied Text Analysis with Python: Enabling Language-aware Data Products with Machine Learning
B Bengfort, R Bilbro, T Ojeda – 2018 – books.google.com
… such as machine translation, question-and-answer systems, voice transcription, text summarization, and chatbots are becoming … NLTK, the Natural Language Tool-Kit, is a “batteries included” resource for NLP written in … The Slack chatbot provides contextual automatic interaction …

Machine Learning Applications Using Python
CS from Healthcare, P Mathur – Springer
Page 1. Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance — Puneet Mathur Page 2. Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance Puneet Mathur Page 3 …

Developing Disease Classification System based on Keyword Extraction and Supervised Learning
M Suffian, MY Khan, S Wasi – INTERNATIONAL JOURNAL OF …, 2018 – researchgate.net
… case-folding, lemmatising and stemming are applied. These methods are supposed to sort words so as to group together inflected or variant forms of the same words. These methods are employed by using the Natural Language Toolkit (NLTK) module in Python [16] …

Stack Overflow Question Retrieval System
V Cline, A Dharwadkar, R Goyal, D Engels… – SMU Data Science …, 2018 – scholar.smu.edu
… Next, we used the NLTK framework to perform word tokenization, specifically the regexp tokenizer class, which tokenizes based on regular expression-based patterns to segment sentences and then segmented those sentences into words …

Building syntactic analysis rules of user requests in a question answering system
K Vladislav – 2018 – dspace.spbu.ru
… Natural Language Processing).

Natural language generation for commercial applications
A van de Griend, W OOSTERHEERT, T HESKES – 2018 – ru.nl
… and realised that, in terms of NLG, not much has changed since the first chatbot, Eliza (Weizenbaum … such that it may be used to improve responses from retrieval-based chatbots (section 8.3 … Since word tokenisation is quite involved, we used a predefined implementation (NLTK1 …

Applied Natural Language Processing with Python
T Beysolow II – Springer
… Some examples of implementations using deep learning are chatbots that handle customer service requests, auto-spellcheck on cell phones, and AI assistants, such … For example, if someone spoke to a chatbot and asked it to “find food near me,” the chatbot would use NLU to …

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
T Niu, M Bansal – arXiv preprint arXiv:1809.02079, 2018 – arxiv.org
… words oc- curs often in the real world, eg, transposition of words is one of the most frequent errors in manuscripts (Headlam, 1902; Marqués-Aguado, 2014); it is also frequently seen in blog posts.3 Thus, being robust to swapping adjacent words is useful for chatbots that take …

Measuring Short Text Semantic Similarity with Deep Learning Models
J Ge – 2018 – yorkspace.library.yorku.ca
Page 1. Measuring Short Text Semantic Similarity with Deep Learning Models Jun Ge A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS …

Another Diversity-Promoting Objective Function for Neural Dialogue Generation
R Nakamura, K Sudoh, K Yoshino… – arXiv preprint arXiv …, 2018 – arxiv.org
… We tokenized with the TweetTokenizer in the NLTK to calculate the BLEU and DIST scores for the word sequences (not subword sequences) … 2017a. A deep reinforcement learning chatbot. arXiv preprint arXiv:1709.02349 …

M. KANM
M KANMAZ – 2018 – etd.lib.metu.edu.tr
… ME Maximum Entropy ML Machine Learning MM Market Model NB Naïve Bayes NLP Natural Language Processing NLTK Natural Language Toolkit RID Regressive Imagery Dictionary S&P Standard and Poor’s SMB Small Minus Big SVM Support Vector Machine Page 17. 1 …

Decision support with text-based emotion recognition: Deep learning for affective computing
B Kratzwald, S Ilic, M Kraus… – arXiv preprint arXiv …, 2018 – pdfs.semanticscholar.org
… could further benefit from emotion recognition and a deeper understanding of empathy (eg chatbots and personal assistants). In fact, emotion detection could significantly … [55] User interaction Chabots Regulation of emotion of stranded passengers through chatbots [56] …

Personalized response generation by Dual-learning based domain adaptation
M Yang, W Tu, Q Qu, Z Zhao, X Chen, J Zhu – Neural Networks, 2018 – Elsevier
… 1. Introduction. Conversational system (also called dialogue system) has become increasingly important in a large variety of applications, such as e-commerce, technical support services, entertaining chatbots, information retrieval dialogue systems …

Feature-based transfer learning In natural language processing
J YU – 2018 – ink.library.smu.edu.sg
Page 1. Singapore Management University Institutional Knowledge at Singapore Management University Dissertations and Theses Collection (Open Access) Dissertations and Theses 12-2018 Feature-based transfer learning In natural language processing …

Comparing the Effectiveness of Support Vector Machines and Convolutional Neural Networks for Determining User Intent in Conversational Agents
KO Sullivan – 2018 – arrow.dit.ie
… 1.1 Background Conversational agents are computer systems which communicate with users employing natural language and fall into two broad categories; chatbots and task-oriented agents (Jurafsky & Martin, 2009). Chatbots are systems which attempt to converse with …

International FrameNet Workshop 2018
TT Torrent, L Borin, CF Baker – 2018 – lrec-conf.org
… length. The NLTK tool4 for sentence boundary detection was then applied on the 34 documents … frames. The tokens contained in the requirements documents were lemmatised and assigned part-of-speech (POS) tags using NLTK …

Probabilistic verb selection for data-to-text generation
D Zhang, J Yuan, X Wang, A Foster – Transactions of the Association for …, 2018 – MIT Press
… It is not difficult to imagine that different kinds of such data-to-text NLG systems can be utilized by a modern chatbot like Amazon Echo or Microsoft XiaoIce (Shum et al., 2018) to enable users access a variety of online … 1https://stanfordnlp.github.io/CoreNLP/ 2http://www.nltk.org …

Practical Machine Learning with Python
D Sarkar, R Bali, T Sharma – A Problem-Solvers Guide To Building Real …, 2018 – Springer
Page 1. Practical Machine Learning with Python A Problem-Solver’s Guide to Building Real-World Intelligent Systems — Dipanjan Sarkar Raghav Bali Tushar Sharma Page 2. Practical Machine Learning with Python A Problem-Solver’s Guide to Building …

Transforming the IT Services Lifecycle with AI Technologies
K Kloeckner, J Davis, NC Fuller, G Lanfranchi, S Pappe… – 2018 – Springer
Page 1. 123 SPRINGER BRIEFS IN COMPUTER SCIENCE Kristof Kloeckner · John Davis · Nicholas C. Fuller Giovanni Lanfranchi · Stefan Pappe Amit Paradkar · Larisa Shwartz Maheswaran Surendra · Dorothea Wiesmann Transforming the IT Services Lifecycle with AI …

4REAL 2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language
A Branco, N Calzolari, K Choukri – 2018 – lrec-conf.org
Page 1. LREC 2018 Workshop 4REAL 2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language PROCEEDINGS Edited by António Branco, Nicoletta Calzolari and Khalid Choukri ISBN: 979-10-95546-21-4 …

Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
J Pichl, CTU FEE, P Marek, J Konrád, M Matulík… – dex-microsites-prod.s3.amazonaws …
… We use the NLTK library for this because of its speed and certain features … The dataset is divided into six tasks with increasing difficulty. We use task six because it is the only task which contains records of real-world conversations between humans and chatbot …

Emory IrisBot: An Open-Domain Conversational Bot for Personalized Information Access
A Ahmadvand, IJ Choi, H Sahijwani, J Schmidt, M Sun… – m.media-amazon.com
… Finally, 37 different POS tags from NLTK have been trained … As a fallback, for when classifier failed or components couldn’t find a good enough response, we had a general catch-all Chat component, which was based on the ALICE chatbot, implemented in AIML …

Approaches to natural language processing in app development
C Djoweini, H Hellberg – 2018 – diva-portal.org
Page 1. IN DEGREE PROJECT COMPUTER ENGINEERING, FIRST CYCLE, 15 CREDITS , STOCKHOLM SWEDEN 2018 Approaches to natural language processing in app- development CAMRAN DJOWEINI HENRIETTA HELLBERG …

Machine learning basics
D Sarkar, R Bali, T Sharma – Practical Machine Learning with Python, 2018 – Springer
… understand natural human language. Combine NLP with AI and Machine Learning and you get chatbots, machine translators, and virtual personal assistants, which are indeed the future of innovation and technology! Coming to Deep …

From AI to Robotics: Mobile, Social, and Sentient Robots
A Bhaumik – 2018 – taylorfrancis.com
Page 1. Page 2. From AI to Robotics Mobile, Social, and Sentient Robots Page 3. Page 4. From AI to Robotics Mobile, Social, and Sentient Robots Boca Raton London New York CRC Press is an imprint of the Taylor & Francis …

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation
M Yang, Q Qu, K Lei, J Zhu, Z Zhao, X Chen… – Proceedings of the 2018 …, 2018 – SIAM
… 1 Introduction Dialogue system has become increasingly important in a large variety of applications, ranging from technical support services to entertaining chatbots … 2http://weibo.com 3http://www.nltk.org 4http://www.ictclas.org …

Data-Driven Requirements Engineering
KJ Slegten – 2018 – dspace.library.uu.nl
Page 1. Data-Driven Requirements Engineering Using Natural Language Processing to Automatically organize a large collection of User Feedback Thesis for the master program Business Informatics 2017-2018 Student: Kariem Slegten Studentnumber: 5767202 …

Natural Language Generation with Neural Variational Models
H Bahuleyan – arXiv preprint arXiv:1808.09012, 2018 – arxiv.org
… Consider a conversational system such as a chatbot, where x is the line input by the user and y is the line generated by the machine. Seq2Seq neural network models can be designed to function as such conversational agents …

A debating ontology for argumentative dialogue systems
S Langhammer – 2018 – oparu.uni-ulm.de
… Examples include intelligent personal assistants such as Apple’s Siri or Amazon Alexa, conversational in-car navigation systems, technical support dialogue systems, chat bots for casual conversation [9], tutoring systems for … 9] introduce an argumentative chat bot named Debbie …

Innovative data mining techniques and applications in social networks
? ??????? – 2018 – nemertes.lis.upatras.gr
… Twitter, are full of socialbots [44, 43, 33]. The applications vary from commercial chatbots, ie Pandora Bot 1, to mass manipulation during political events [12, 68, 45]. Broadly speaking there are two existing kinds of efforts related to social bots: 1) …

Using Polarity Classification Model to Assess Customer Attitudes: the Case of Russian E-Commerce Companies on Twitter
T Alexander – 2018 – dspace.spbu.ru
… NB — Naïve Bayes NLP — Natural Language Processing NLTK — Natural Language Tool Kit NN — Neural Networks … It is applied in such spheres, as spam filtering, search recommendations and chat bots. One of NLP subdomains — Sentiment Analysis …

Detection and classification of harmful bots in human-bot interactions on Twitter
L CANNONE, M DI PIERRO – 2018 – politesi.polimi.it
… Gartner estimates that by 2020 85% of customer requests will be handled by bots, while Inbenta estimates 1.8 billion unique customer chatbot users by 2021 [2]. The technological advancements of chatbots undoubtedly produced a hype on its own, yet bots today are by far not …

Towards Understanding Code-Mixed Telugu-English Data
DS Jitta – 2018 – web2py.iiit.ac.in
… [16] has developed a CRF based word-level language identification system for four pairs of languages namely, English-Spanish (En-Es), English-Nepali (En-Ne), English-Mandarin (En-Cn), and Standard 1http://www.nltk.org/ 10 Page 23. Arabic-Arabic (Ar-Ar) dialects …

Advanced Data Analytics Using Python
S Mukhopadhyay – Springer
… Python’s NLTK package does have a name entity recognition function, but its accuracy is not good. Stanford NLP is a better choice here, which is written in Java. You can solve this problem in two ways. • You can call Java at the command line using Python code …

Health analytics
A Makhlysheva, A Budrionis… – … Center for E-health …, 2018 – ehealthresearch.no
Page 1. Makhlysheva A., Budrionis A., Chomutare T., Nordsletta AT, Bakkevoll PA, Henriksen T., Hurley JS, Bellika JG, Blixgård H., Godtliebsen F., Skrøvseth SO, Solvoll T., Linstad L. Health Analytics REPORT 04/2018 Page 2. Health Analytics Report number 04-2018 …

Working With Useless Machines: A look at our shifting relationship with ubiquity through personal assistants
N Lessio – 2018 – openresearch.ocadu.ca
Page 1. Working With Useless Machines A look at our shifting relationship with ubiquity through personal assistants by: Nadine Lessio A thesis exhibition presented to OCAD University in partial fulfillment of the requirements for the degree of Master of Design in Digital Futures …

Predictive Market Capitalization by Topic Analysis forClients’ Engagement in Financial Industries
J Santhappan – 2018 – search.proquest.com
… 2017). Usually, NLP is part of AI. Natural Language Toolkit (NLTK):Builds Python to work with human language data (Sugomori, Kaluza, Soares, & Souza, 2017). Predictive analytics: Assist in explaining what will happen by the use of data or text …

Pintail: a travel companion for guided storytelling
SK Chowdhury – 2018 – dspace.mit.edu
Page 1. Pintail: A Travel Companion for Guided Storytelling by Sujoy Kumar Chowdhury Submitted to the Program in Media Arts and Sciences, School of Architecture and Planning, In partial fulfilment of the requirements for the degree of Master of Science in Media Technology …

Online review analysis: how to get useful information for innovating and improving products?
T Hou – 2018 – tel.archives-ouvertes.fr
Page 1. HAL Id: tel-02014508 https://tel.archives-ouvertes.fr/tel-02014508 Submitted on 11 Feb 2019 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
S Mukhopadhyay – 2018 – books.google.com
… Python’s NLTK package does have a name entity recognition function, but its accuracy is not good. Stanford NLP is a better choice here, which is written in Java. You can solve this problem in two ways. • You can call Java at the command line using Python code …

Mining Developer Communications to Create a Web-Scale Repository of Documented and Analyzable Snippets
D Shepherd – 2018 – apps.dtic.mil
Page 1. MINING DEVELOPER COMMUNICATIONS TO CREATE A WEB- SCALE REPOSITORY OF DOCUMENTED AND ANALYZABLE SNIPPETS ABB, INC. AUGUST 2018 FINAL TECHNICAL REPORT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED …

Lascad: Language-agnostic software categorization and similar application detection
D Altarawy, H Shahin, A Mohammed, N Meng – Journal of Systems and …, 2018 – Elsevier
… We leveraged the NLTK (Bird et al., 2009) natural language processing library, applied Scikit-learn (Buitinck et al., 2013) for LDA modeling and hierarchical clustering implementations, and used Pandas (McKinney, 2011) and Scipy (Jones et al., 2001) to process and analyze …

Development of an Arabic conversational intelligent tutoring system for education of children with autism spectrum disorder
SS Aljameel – 2018 – e-space.mmu.ac.uk
Page 1. Aljameel, Sumayh Saud (2018)Development of an Arabic conversational in- telligent tutoring system for education of children with autism spectrum dis- order. Doctoral thesis (PhD), Manchester Metropolitan University …

Machine Learning in Official Statistics
M Beck, F Dumpert, J Feuerhake – arXiv preprint arXiv:1812.10422, 2018 – arxiv.org
… An ML approach should automatically carry out such classifications. Text classification Test kNN, Multinomial- Naive-Bayes Python (NLTK, SKlearn), R Federal Statistical Office of Germany Use of scanner data in consumer price statistics …

The Privacy Policy Landscape After the GDPR
T Linden, H Harkous, K Fawaz – arXiv preprint arXiv:1809.08396, 2018 – arxiv.org
Page 1. Thomas Linden, Hamza Harkous, and Kassem Fawaz* The Privacy Policy Landscape After the GDPR Abstract: Every new privacy regulation brings along the question of whether it results in improving the privacy for …

Natural Language Data Management and Interfaces
Y Li, D Rafiei – Synthesis Lectures on Data Management, 2018 – morganclaypool.com
Page 1. Natural Language Data Management and Interfaces Yunyao Li Davood Rafiei L I • R AFIE I N A T UR AL L ANGU A GE D A T A MAN A GE ME N T AND IN T E R F A CE SM O R GAN & CL A YPOO L HV Jagadish, Series Editor Page 2. Page 3. Natural Language …

Facing the facts of fake: A distributional semantics and corpus annotation approach
B Cappelle, P Denis, M Keller – Yearbook of the German Cognitive …, 2018 – degruyter.com
… tokens of fake with its sentence-length context. Using Stanford POS Tagger in Natural Language Toolkits (NLTK), we provided all words in these sentences with part-of-speech labels. We then extracted from our set of sentences …

Process models of interrelated speech intentions from online health-related conversations
EV Epure, D Compagno, C Salinesi… – Artificial intelligence in …, 2018 – Elsevier
Skip to main content …

To copy or not to copy? Text-to-text neural question generation
T Hosking – 2018 – tomho.sk
Page 1. To copy or not to copy? Text-to-text neural question generation Tom Hosking Project Supervisor Prof Sebastian Riedel Industry Partner Dr Guillaume Bouchard, Bloomsbury AI http://bloomsbury.ai Department of Computer Science University College London (UCL) …

Big data processing with apache spark
S Penchikala – 2018 – books.google.com
Page 1. BIG-DATAPROCESSING WITH APACHE SPARK Srini Penchikala InfoC) ENTERPRISE SOFTWARE DEVELOPMENT SERIES Page 2. Big-Data Processing with ApacheSpark Srini Penchikala Page 3. Big-Data Processing with Apache Spark © 2018 Srini Penchikala …

Seeing (Movement) is Believing: The Effect of Motion on Perception of Automatic Systems Performance
P García García, E Costanza, J Verame… – Human–Computer …, 2018 – Taylor & Francis
Page 1. Seeing (Movement) is Believing: The Effect of Motion on Perception of Automatic Systems Performance Pedro García García, 1,2 Enrico Costanza, 2 Jhim Verame, 1,2 Diana Nowacka, 2 and Sarvapali D. Ramchurn 1 …

Computational Study of the Politics of Emotions: An Analysis of Curiosity and Outrage in Online Platforms
L Venneti – 2018 – web2py.iiit.ac.in
Page 1. Computational Study of the Politics of Emotions: An Analysis of Curiosity and Outrage in Online Platforms Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Exact Humanities by Research by Lasya Venneti 201356157 …

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