WEKA & Chatbots – Meta-Guide.com

Notes:

Weka (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining. It is an open-source software suite that provides a variety of tools for preprocessing, clustering, classification, regression, visualization, and other tasks related to data mining. Weka was developed at the University of Waikato in New Zealand, and it is widely used by researchers, developers, and organizations around the world.

Weka includes a graphical user interface (GUI) that allows users to easily apply machine learning algorithms to their data, as well as a number of command-line tools for more advanced users. It is compatible with a variety of data formats, including CSV, ARFF, and other common data formats, and it can be easily integrated with other software tools and platforms. Weka is a powerful and versatile tool for data mining and machine learning, and it is widely used in a variety of fields, including data science, business, and academia.

Weka can be used to develop dialog systems. Weka provides a variety of tools and resources for preprocessing, clustering, classification, regression, visualization, and other tasks related to data mining, and these tools can be used to develop dialog systems that are able to learn and improve over time.

For example, Weka can be used to develop dialog systems that are able to learn from data by training machine learning algorithms on a large dataset of previous conversations. This can allow the system to understand the meanings of words and phrases, and to generate responses that are appropriate and relevant to the user’s input. Weka can also be used to develop dialog systems that are able to adapt to new situations and environments by using unsupervised learning algorithms to cluster and classify data. This can enable the system to learn from its interactions with users and to improve its performance over time.

Resources:

halef .. open source vxml-based spoken dialog system
talkingtothecrowd.org .. a google hangouts chatbot powered by crowdsourcing
weka .. collection of machine learning algorithms for data mining

Wikipedia:

References:

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R Rajkumar, V Ganapathy – IEEE Access, 2020 – ieeexplore.ieee.org
… Initially, modified VARK questionnaires are implemented as a Chat- bot to interact with learners … R. Rajkumar, V. Ganapathy: Bio-Inspiring Learning Style Chatbot Inventory Using Brain Computing … like Naïve Bayes and J48 tree classification algorithms avail- able Weka 3.8.3 …

An Analysis of Use Intention of Pet Disease Consultation Chatbot
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… Dialogue Systems … Jose M. Alonso, A. Bugarín, “ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers”, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, 1-6, 2019, https://dx.doi.org/10.1109/FUZZ-IEEE …

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… Artificial intelligence (AI) is a powerful technology with an increasing popularity and applications in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial …

Artificial Intelligence Initiatives in the Special Secretariat of Federal Revenue of Brazil
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… systems, we believe that these integrations will be the most difficult part in the development of chatbots … We also consider using a chatbot to make it easier for taxpayers to pick the best … ContÀgil interfaces with other ML tools like Weka, R, DL4J and Neo4J allowing its users to …

ISABELA–A Socially-Aware Human-in-the-Loop Advisor System
J Fernandes, D Raposo, N Armando, S Sinche… – Online Social Networks …, 2020 – Elsevier
… In addition, it implements a mechanism to close the loop by using interactive agents, commonly known as chatbots … Additionally, also to preserve users’ confidentiality, all the messages between the user and the chatbot are only stored in a persistence database on the …

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B Jazayeri, S Schwichtenberg, J Küster… – International Conference …, 2020 – Springer
… The basic services come from the Machine Learning (ML) libraries Weka 3 , in Java, and Scikit-learn 4 , in Python … In dialogue with a chatbot, the user submits her (non-)functional requirements and the training data. The chatbot broadcasts the requirements to configurators …

Recommendation system for students’ course selection
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… is that while text mining is just analytics, making the computer to understand the text would be NLP, a real-time example being chatbot … A notable model to be mentioned has predicted the courses that will be selected by the student and used Weka to compare the results [13] …

Development of Educational Data Mining Model for Predicting Student Punctuality and Graduation Predicate
M Fachrie – researchgate.net
… The chatbot is a computer program which devel- oped using artificial intelligence … Data analysis was done using the Waikato Environment for Knowledge Analysis (WEKA) … communi- cation between citizens and government through ai-guided chatbots,” Government Information …

Subjective text mining for arabic social media
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… For the clas- sification phase, we trained our sentiment classifier by applying the Naïve Baysian algorithm in Weka Suite Software version 3.6.13 … Hijjawi, M., & Bander, Z. (2011). An Arabic Stemming Approach using Machine Learning with Arabic Dialogue System …

Early Diagnosis of Human Disease using Artificial Intelligence
A Kumar, HK Soni – 2020 – mail.easychair.org
… treatment. This chatbot system was based on the k-nearest neighbor algorithm. The system proposed by … disease. The Naive Bays, Support Vector Machine, Random Forest, and Simple CART algorithm were used on the WEKA tool …

Systematic review of machine learning for diagnosis and prognosis in dermatology
K Thomsen, L Iversen, TL Titlestad… – Journal of …, 2020 – Taylor & Francis
… dermatology. Several general practitioner (GP) chatbots are commercially available that perform clinical examinations using patient information data only, with high outputs, some even claiming to outperform real GPs (18). To …

FRUSTRATION INTENSITY PREDICTION IN CUSTOMER SUPPORT DIALOG TEXTS
J Zuters, V Leonova – academia.edu
… respect to dialog datasets and research on automated dialog agents (or “chatbots”) an important … labelling and structure of the datasets associated with each of these chatbot types are, in … KE Kim, (2020) End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT …

Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review
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Optimized k-NN Classifier for Achieving Personalized Recommender System Using Product Reviews Data
P Sasikala – researchgate.net
… of the different classifiers which indicated that many of the WEKA classifiers lacked … Regular client administration chatbots are typically developed on human dialogue, yet noteworthy concerning … A customer service chatbot referred to as SuperAgent that uses enormous scale …

Tracing changes over the course of the conversation: A case study on filled pauses rates}}
V Silber-Varod, D Amit, A Lerner – Proc. 10th International …, 2020 – isca-speech.org
… conversation [1], [2], [3], and [4]. Partly, this line of research is motivated by its implications for the design of spoken dialog systems and human … the role in each session (session facet) and the role per speaker (speaker facet), we used Logistic regression algorithm via WEKA [22] …

Beyond Artificial Reality: Finding and Monitoring Live Events from Social Sensors
C Pu, A Suprem, RA Lima, A Musaev, D Wang… – ACM Transactions on …, 2020 – dl.acm.org
… optimization and learning about the search process for the best classifiers, with useful software tools such as Auto-WEKA and Hyperopt … under Fixed Data Sets have inherent difficulties with true novelty beyond the original fixed training data, as shown by Microsoft Tay chatbot …

Exploring key issues affecting african mobile ecommerce applications using sentiment and thematic analysis
T Olagunju, O Oyebode, R Orji – IEEE Access, 2020 – ieeexplore.ieee.org
… The labelled data was then used to train WEKA classifiers – Sequential Minimal Optimization (SMO), J48 and Bayes Net … We understand that this may be due to the high cost of providing 24/7 by humans, however, automated chatbots can be … Implement a chatbot that resolves …

WellBe: A Conversational Agent for Well-Being
J Wu – 2020 – escholarship.org
… dialogue system even though it was based on very simply mechanisms. Eliza applies a … This corpus con- tains dialogues related to 32 emotions. However chatbots based on this corpus are still … Another approach is exemplified by the empathetic social chatbot Microsoft …

Extending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training …
S Jagdale, M Shah – pdfs.semanticscholar.org
… 1. Introduction Spoken Dialogue System (SDS) interacts with the user in the most natural … an important task in many applications as image processing, spoken dialogue systems, etc … Decision Tree Pruning Methods with their Empirical Comparison in WEKA,” International Journal …

ADAPTIVE VOCABULARY CONSTRUCTION FOR FRUSTRATION INTENSITY MODELLING IN CUSTOMER SUPPORT DIALOG TEXTS
J Zuters, V Leonova – researchgate.net
… Badaro et al., 2019, analysing emotion intensity in tweets and providing a Weka package for … respect to dialog datasets and research on automated dialog agents (or “chatbots”) an important … labelling and structure of the datasets associated with each of these chatbot types are …

Online Social Networks and Media
J Fernandes, D Raposo, N Armando, S Sinche… – 2020 – researchgate.net
… In addition, it implements a mechanism to close the loop by using interactive agents, commonly known as chatbots … Additionally, also to preserve users’ confidentiality, all the mes- sages between the user and the chatbot are only stored in a persis- tence database on the …

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach
M Bahja, R Hammad, MA Kuhail – 2020 IEEE/ACM 13th …, 2020 – ieeexplore.ieee.org
… this model to capture opinion outside pandemic domain, eg, measuring the impact of using educational chatbots [32] on … The WEKA workbench [30] McCallum, A., & Nigam, K. (1998) A comparison of event models for naive bayes … Talk2Learn: A Framework for Chatbot Learning …

What Speakers really Mean when they Ask Questions: Classification of Intentions with a Supervised Approach
A Barbedette, I Eshkol – Proceedings of The 12th Language Resources …, 2020 – aclweb.org
… There are many possi- ble outcomes to this work like the improvement of human- machine dialogue and chatbots, a deeper opinion analysis and … Experiences and results 6.1.1. Weka To start our experiments, we first used Weka, which allows the use of many algorithms and …

State of art Research in Bengali Speech Recognition
SMSI Badhon, MH Rahaman… – 2020 11th …, 2020 – ieeexplore.ieee.org
… In chat bots, in many places we can use chat bots as information providers … The Principal Component Analysis (PCA) considering the Ranker Search Technique had been accomplished with the aid of the well-known open source software WEKA on the data to introduce the …

Recognition of cooking activities through air quality sensor data for supporting food journaling
F Gerina, SM Massa, F Moi… – Human-centric …, 2020 – hcis-journal.springeropen.com
… Indeed, we believe that these technologies, possibly coupled with automatic dialog systems, may provide adequate solutions for unobtrusive and privacy-conscious context recognition, as well as user engagement for supporting diet data acquisition on the long term …

Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems
S Sinche, P Hidalgo, JM Fernandes, D Raposo… – Telecom, 2020 – mdpi.com
… made using an implementation of the random forest algorithm, which was implemented in java based on the analysis realized with the WEKA framework; … of the HiL (Human-in-the-Loop) model, ISABELA closed the loop with feedback sent to the student through a chatbot, ie, the …

Improvement of an online education model with the integration of machine learning and data analysis in an LMS
W Villegas-Ch, M Román-Cañizares… – Applied Sciences, 2020 – mdpi.com
The events that took place in the year 2020 have shown us that society is still fragile and that it is exposed to events that rapidly change the paradigms that govern it. This has been shown by a pandemic like Coronavirus disease 2019; this global emergency has changed the way …

A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution
A Matsufuji, H Sekino… – … Joint Conference on …, 2020 – ieeexplore.ieee.org
… social robot could use verbal information to communicate with human (eg, chatbot [24]) supported … I Help You?–State of the Art and Open Research Questions for Chatbots at the … Hall, H. Ian, The WEKA Workbench: Online Appendix for ”Data Mining: Practical Machine Learning …

A survey on intention analysis: successful approaches and open challenges
M Hamroun, MS Gouider – Journal of Intelligent Information Systems, 2020 – Springer
… For the classification task, WEKA was used … autoencoder (RAE) to the utterance intent classification of a smartphone-based Japanese language spoken dialogue system … on a corpus of session data collected from real-use scenarios of a spoken dialog system (audiovisual media …

Assisting Undergraduate Students in Writing Spanish Methodology Sections
S González-López, S Bethard… – Proceedings of the …, 2020 – aclweb.org
… These language models were built only on the sentences labeled as positive, ie, on sentences that should be examples of good token/grammatical 2We used the implementation in Weka 3.6.13, https: //www.cs.waikato.ac.nz/ml/weka/ 3FreeLing4.1,http://nlp.lsi.upc.edu/ freeling …

Mobile data science and intelligent apps: Concepts, ai-based modeling and research directions
IH Sarker, MM Hoque, MK Uddin… – Mobile Networks and …, 2020 – Springer
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the d.

Diabetes self-management in the age of social media: Large-scale analysis of peer interactions using semiautomated methods
S Myneni, B Lewis, T Singh, K Paiva… – JMIR Medical …, 2020 – qa-medinform.jmir.org
Background: Online communities have been gaining popularity as support venues for chronic disease management. User engagement, information exposure, and social influence mechanisms can play a significant role in the utility of these platforms. Objective: In this paper, we characterize …

Implementation of artificial intelligence techniques for cancer detection
D Patel, Y Shah, N Thakkar, K Shah, M Shah – Augmented Human …, 2020 – Springer
… It includes smarter chat bots for better and quick customer services … These experiments use the Wisconsin Breast Cancer (original) datasets from the UCI Machine Learning Repository and are conducted in WEKA data mining tool …

Human activity recognition adapted to the type of movement
M Gil-Martín, R San-Segundo… – Computers & Electrical …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Filtering-Based Analysis of Spectral and Temporal Effects of Room Modes on Low-Level Descriptors of Emotionally Coloured Speech
M Gottschalk, J Höbel-Müller, I Siegert… – Studientexte zur …, 2020 – essv.de
… 1 Department of Experimental Audiology, 2 Chair of Cognitive Systems, 3 Mobile Dialog Systems, Otto von Guericke University Magdeburg martin.gottschalk@med.ovgu.de … As recognition system, a SVM with linear kernel and a cost factor of 1 was utilized with WEKA [17] …

Machine Learning in SME: An Empirical Study on Enablers and Success Factors
M Bauer, C van Dinther, D Kiefer – 2020 – researchgate.net
… 2018) • Job scheduling (Priore et al. 2006) • Chemistry R&D (Zhou et al. 2019) • … • Chat bots (Xu et al … Thornton, C., Hutter, F., Hoos, HH, and Leyton-Brown, K. 2013. “Auto-WEKA,” in KDD ’13 … Xu, A., Liu, Z., Guo, Y., Sinha, V., and Akkiraju, R. 2017. “A New Chatbot for Customer …

A data-driven approach to spoken dialog segmentation
D Griol, JM Molina, A Sanchis, Z Callejas – Neurocomputing, 2020 – Elsevier
… of a certain value in the UR is 1 or 2, the dialog system employs confidence … algorithm [48] has been used to learn this classification model, using the Weka machine learning … We have recently developed a toolkit to develop dialog managers for spoken dialog systems based on …

Sentiment Analysis on Youtube Social Media Using Decision Tree and Random Forest Algorithm: A Case Study
M Aufar, R Andreswari… – … Conference on Data …, 2020 – ieeexplore.ieee.org
… The classifying process is using WEKA as their primary tool, which means the feature selection is based on WEKA’s StringToWordVector … [10] T. Suryana, “Pembangunan Aplikasi Natural Language Processing Untuk Pembuatan Chat Bot Berbasis Web (Di Universitas Komputer …

A Comparative Study on Stock Market Prediction
N Kalaiselvi, S Pushpavalli, S Amirtha, V Swaathi… – 2020 – 67.209.122.217
… A best example of reinforcement learning is a chat bot that learns from the user inputs and stores them to knowledge base. Page 2 … It used clustering algorithms Weka software by utilizing K-means, farthest first linear regression and data mining …

Smart Malware Detection: From Signatures to Artificial Intelligence
J Ferdaos, C Vaya, A Bhalla, A Tharayil… – … on Smart and …, 2020 – ieeexplore.ieee.org
… Due to its important application potential, artificial intelligence has been utilized in a range of contexts, including facial recognition, chat bots, search engines, robotics and … To choose the most appropriate feature selection method, we conducted some experiments using WEKA …

Knowledge Graph Question Answering using Graph-Pattern Isomorphism
D Vollmers, R Jalota, R Usbeck, D Moussallem… – 2020 – openreview.net
… All duplicate questions and questions without SPARQL queries were removed from the training datasets. We tested multiple machine learning algorithms with the WEKA framework7 [14] on our training data using 10-fold cross- validation … 7 https://www.cs.waikato.ac.nz/ml/weka …

Automatic voice emotion recognition of child-parent conversations in natural settings
ELC Law, S Soleimani, D Watkins… – Behaviour & Information …, 2020 – Taylor & Francis
ABSTRACTWhile voice communication of emotion has been researched for decades, the accuracy of automatic voice emotion recognition (AVER) is yet to improve. In particular, the intergenerational comm…

Review of Non-English Corpora Annotated for Emotion Classification in Text
V Leonova – International Baltic Conference on Databases and …, 2020 – Springer
… With recent development of all kinds of chat bots, virtual assistants and similar intelligent agents, the analysis of emotions in text has seen ever-increasing … WEKA classifiers J48, ZeroR, Naïve Bayes, Multinomial Naïve Bayes Text and SMO were applied to the resulting dataset …

Recognizing Abstract Classes of Text Based on Discourse
B Galitsky – Artificial Intelligence for Customer Relationship …, 2020 – Springer
The problem of classifying shorter and longer texts into abstract classes is formulated and its application areas for CRM are proposed. These classes include reasoning patterns expressed in text such…

Adaptive Personalized Multiple Machine Learning Architecture for Estimating Human Emotional States
A Matsufuji, E Sato-Shimokawara… – Journal of Advanced …, 2020 – jstage.jst.go.jp
… developed social robots can use verbal infor- mation to communicate with humans (eg, a chatbot [5] used as … We implemented a multilayer perceptron algorithm by using machine learn- ing software WEKA [28] … State of the Art and Open Research Questions for Chatbots at the …

Stance detection: A survey
D Küçük, F Can – ACM Computing Surveys (CSUR), 2020 – dl.acm.org
Page 1. 12 Stance Detection: A Survey DILEK KÜÇÜK, TÜB?TAK Energy Institute, Ankara, Turkey FAZLI CAN, Bilkent University, Ankara, Turkey Automatic elicitation of semantic information from natural language texts is an important …

Law Librarianship in the Age of AI
E Kroski – 2020 – books.google.com
… A decision tree is a hierarchical series of questions that lead to a conclusion based on the information provided. The aforementioned chatbot would be powered by a decision tree, though there are increasing efforts to build more powerful chatbots through machine learning …

A Survey on Machine Learning Methodologies in Social Network Analysis
R Ganguli, A Mehta, S Sen – 2020 8th International Conference …, 2020 – ieeexplore.ieee.org
… For classification of the profiles, based on the collected data, WEKA (the Wakaito Environment for Knowledge Analysis) [6] is used to generate … in this paper may also be applied to perform other tasks on the social network, such as identifying the online chat-bots, recognizing the …

Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of Things
H Bedekar, G Hossain, A Goyal – Fog Data Analytics for IoT Applications, 2020 – Springer
… The data was inserted into the Weka instrument equipment to aware of the correctness of the classification and the relevant classifiers which are … The other application is called Chatbots, a designed computer program to respond the questions asked by the clients and help them …

Towards Guidelines for Assessing Qualities of Machine Learning Systems
J Siebert, L Joeckel, J Heidrich, K Nakamichi… – … Conference on the …, 2020 – Springer
… They also relate these quality attributes to different views/objects: data, learning program, and framework (eg, Weka, TensorFlow) … dependent on the environment also raises further quality-related challenges (see, for example, the problems faced by the Microsoft chatbot Tay) …

Towards Guidelines for Assessing Qualities of Machine Learning Systems
I Namba, R Yamamoto, M Aoyama – Quality of Information and …, 2020 – books.google.com
… They also relate these quality attributes to different views/objects: data, learning program, and framework (eg, Weka, TensorFlow) … depen- dent on the environment also raises further quality-related challenges (see, for example, the problems faced by the Microsoft chatbot Tay) …

A Survey on Sarcasm detection and challenges
E Ilavarasan – 2020 6th International Conference on …, 2020 – ieeexplore.ieee.org
… They classified the tweets using SVM and Naïve Bayes classifiers. They used Weka and they found that the accuracy of Naïve Bayes is 65.2% and SVM is 60.1 … ” Yeah Right”: Sarcasm Recognition for Spoken Dialogue Systems …

IoT-complex for Monitoring and Analysis of Motor Highway Condition Using Artificial Neural Networks
R Leizerovych, G Kondratenko… – 2020 IEEE 11th …, 2020 – ieeexplore.ieee.org
… In this work, Correlation based Feature Selection (CFS) [14] was used, using the method developed by WEKA (Fig. 7). Fig … Cham: Springer, 2017, pp. 52–63. [17] P. Kushneryk, Y. Kondratenko, and I. Sidenko, “Intelligent dialogue system based on deep learning technology …

A comprehensive survey on Indian regional language processing
BS Harish, RK Rangan – SN Applied Sciences, 2020 – Springer
… There are many research works and applications like (1) Chatbot (2) Text-to-speech conversion (3) Language Identification (4) Hands-free computing (5) Spell-check (6) Summarizing-electronic medical records (7) Sentiment Analysis and so on, developed to handle these …

Unsupervised AutoML: a study on automated machine learning in the context of clustering
G Poulakis – 2020 – dione.lib.unipi.gr
… 3.1.1 Auto-Weka … in Computer Vision, Natural Language and Speech Processing that consequently enabled the production or improvement of applications such as Autonomous driving, chatbots and customer …

Keyboard dynamics discrepancies between baseline and deceptive eyewitness narratives
F Tomas, I Tsimperidis, S Demarchi… – Applied Cognitive …, 2020 – Wiley Online Library
… Derrick and colleagues (2013) used a synchronous communication chatbot that would ask questions, and require a spontaneous truthful or a deceptive answer … Data classification Classifications were ran on Weka, a well-known and well-documented open source …

Machine Learning Techniques for Suspicious Transaction Detection and Analysis
RD Camino – 2020 – orbilu.uni.lu
Page 1. PhD-FSTM-2020-61 The Faculty of Science, Technology and Medicine DISSERTATION Presented on 08/10/2020 in Luxembourg to obtain the degree of DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN INFORMATIQUE by Ramiro Daniel CAMINO …

A survey of state-of-the-art approaches for emotion recognition in text
N Alswaidan, MEB Menai – Knowledge and Information Systems, 2020 – Springer
… 123 Page 9. A survey of state-of-the-art approaches for emotion… AffectiveTweets 19 is a WEKA20 (Waikato Environment for Knowledge Analysis) package for analyzing emotion and sentiment of tweets. What follows is the most …

Machine learning in cognitive IoT
N Kumar, A Makkar – 2020 – books.google.com
… 47 47 48 50 51 52 56 57 58 60 61 67 69 70 70 71 4 Machine Learning Techniques 4.1 Tools to Implement Machine Learning 4.1.1 Python . . . . . 4.1.2 R . . . . . 4.1.3 Matlab . . . . . 4.1.4 Weka 4.2 Experiments …

Hospital Data Analytics for Business Intelligence: An Analytics Tool for Patient Feedback Analysis
J Ray – 2020 – research.edgehill.ac.uk
… accuracy) and overall recommendation (89% accuracy). These results have been produced using standard machine learning and NLP software Weka, with train- ing data from NHS choices website comments from 2008, 2009 and 2010. More …

A Novel System Architecture for an Improved Self-care Solution-Conceptual Design and Key Components.
P Santos, J Ramos, E Seabra, J Castro – Journal of Telecommunications & …, 2020 – itl.waw.pl
… the application should provide access to customer ser- vice through a chatbot … To achieve that purpose, the first step was to group all con- sumers with similar preferences by using the k-means al- gorithm (k=3) and Weka software …

Driver Emotion Recognition for Intelligent Vehicles: A Survey
S Zepf, J Hernandez, A Schmitt, W Minker… – ACM Computing …, 2020 – dl.acm.org
Page 1. 64 Driver Emotion Recognition for Intelligent Vehicles: A Survey SEBASTIAN ZEPF, Mercedes-Benz AG JAVIER HERNANDEZ, Massachusetts Institute of Technology ALEXANDER SCHMITT, Mercedes-Benz AG WOLFGANG …

Data Mining and Machine Learning Techniques in Prediction of Covid-19 Outbreaks-A Recent Review
V Umarani, M Subathra – tierarztliche.com
… that the MLP method was able to produce fine prediction results than that of the LR and VAR method using WEKA and Orange … to identify the symptoms, developing a smart watch to investigate the heart rate patterns/oxygen levels and in creating a powered chatbots to screen …

Machine learning: hands-on for developers and technical professionals
J Bell – 2020 – books.google.com
… xiv Contents v Software Used in This Book 11 Checking the Java Version 12 Weka Toolkit 12 DeepLearning4J 13 Kafka 13 Spark and Hadoop 13 Text Editors and IDEs 13 Data Repositories 14 UC Irvine Machine Learning Repository 14 Kaggle 14 Summary 14 Chapter 2 …

Emotion Recognition-A Review
S Kaur, D Kulkarni – Emotion Recognition-A Review (May 14 …, 2020 – papers.ssrn.com
… K-Nearest Neighbour algorithm on WEKA (Waikato Environment for Knowledge Analysis) tool was used to classify the emotions from preprocessed normalized features … [23] Oh, KJ., Lee DK., Ko BS., Choi HJ., 2017. “A Chatbot for Psychiatric Counseling in Mental Healthcare …

Natural language processing for social media
AA Farzindar, D Inkpen – Synthesis Lectures on Human …, 2020 – morganclaypool.com
… Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 9. vii …

Potential Target Audience of Misinformation on Social Media: Credulous Users
A Balestrucci – 2020 – iris.gssi.it
Page 1. Doctoral Thesis Potential Target Audience of Misinformation on Social Media: Credulous Users PhD Program in Computer Science: XXXII cycle Doctoral Candidate: Alessandro Balestrucci alessandro.balestrucci@gssi.it Supervisor: Prof. Rocco De Nicola …

AI Governance for Businesses
J Schneider, R Abraham, C Meske – arXiv preprint arXiv:2011.10672, 2020 – arxiv.org
… In the past, such dynamic systems have gotten “out-of-control” after deployment, eg Microsoft’s Tay chatbot had to be shut down after only a few hours of operation due to inappropriate behaviour (Mason, 2016). Finally, an important concept is that of transparency of ML models …

Machine Learning in Drug Discovery and Development Part 1: A Primer
A Talevi, JF Morales, G Hather… – CPT …, 2020 – Wiley Online Library
… informa- tion and performance according to users’ requests.7 Google Brain, which is an AI research team at Google (Mountain View, CA), trained a neural network to rec- ognize a cat from randomly selected YouTube vid- eos in 2012.8 In 2014, a chatbot “Eugene Goostman …

Improving Short Text Classification using Information from DBpedia Ontology
J Flisar, V Podgorelec – Fundamenta Informaticae, 2020 – content.iospress.com
… documents. Typically, they are filtered out, since they don’t contribute to distinguishing different categories of text. We use the standard English stop-word list from Weka7. 7https://www.cs.waikato.ac.nz/ml/weka/ Page 13. J. Flisar …

Product Features based Sentiment Analysis from Twitter
N El-Tazi, A Lotfy – International Journal of Computer Science and …, 2020 – researchgate.net
… In this context, researchers proposed an approach that used Weka data mining tool or software with a positive and negative word set to be compared to another set of words extracted from twitter taking into consideration the emoticons as features [15] …

Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S Raschka, J Patterson, C Nolet – Information, 2020 – mdpi.com
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles of data generated each day to …

Using data mining to repurpose German language corpora. An evaluation of data-driven analysis methods for corpus linguistics
JC Frey – 2020 – amsdottorato.unibo.it
… While self-driving cars, weather forecasting and machine translation become reality, machines have been found to perform increasingly well in many other useful tasks including answering ques- tions of clients through chatbots, recommending movies or predicting user …

Efficient hyperparameter optimization through model-based reinforcement learning
J Wu, SP Chen, XY Liu – Neurocomputing, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Artificial Intelligence and Machine Learning Algorithms
AK Tyagi, P Chahal – Challenges and Applications for Implementing …, 2020 – igi-global.com
… Some of significant Data mining techniques are: Categorization, Classification, Clustering, Regression, Association rules, Outlier analysis, and Sequential patterns (as shown is figure 1). For implementation, the protuberant data mining tools used are Weka, R Tool and Oracle …

Marketing in the Digital World
A Kapoor – 2020 – books.google.com
… These days the companies are using the interactive chatbots technology to have the advantage of a combination of voice text and messaging … Today the chatbot technology is also being used to gather the customer usage data for improving and enhancing the interaction and …

Artificial Intelligent Approach to Predict the Student Behavior and Performance
S Srinivasulu, B Saandeep, V Yuva… – Journal of …, 2020 – ingentaconnect.com
… 2327. 14. Raj, JR, Salman and Senduru Srinivasulu, 2019. Design a chatbot for Chennai corporation using logistic regression algorithm. Inter … 2019. Anomaly detection by using CFS subset and neural network with WEKA tools. Information …

Automatic Poetry Classification and Chronological Semantic Analysis
A Rahgozar – 2020 – ruor.uottawa.ca
… An important aspect of NLP is how data is presented to the computer, and much work was done in the 1970s in this area (O’Connor, 2012). For example, chatbot research found that enabling a computer to carry on a conversation and to imitate human dialogue is a difficult task …

Towards Question-Based High-Recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-Assisted Reviews
J Zou, E Kanoulas – ACM Transactions on Information Systems (TOIS), 2020 – dl.acm.org
Page 1. 27 Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews JIE ZOU and EVANGELOS KANOULAS, University of Amsterdam, The Netherlands …

Leveraging Free-Hand Sketches for Potential Screening of PTSD
F Shahid, W Rahman, MS Rahman, SA Purabi… – Proceedings of the …, 2020 – dl.acm.org
… Finally, we combined sketch features and EEG data while sketching to identify the potential cases of PTSD. Through extensive experimentation in Weka [30], we found that Random Forest works best in screening the potential cases of PTSD based on EEG and sketch features …

Inferring human personality from written media
WR Wright – 2020 – scholarspace.manoa.hawaii.edu
… confused with the High/Low categories of (II). V. Finally they selected a set of features in an automated way (using the WEKA tool [25 … research. In their training attempt (which employed a variety of ML algorithms in WEKA [25,26] …

CA5211 C PROGRAMMING AND DATA STRUCTURES LABORATORY LTPC
P PO – DEPARTMENT OF INFORMATION SCIENCE AND … – management.ind.in
… www. pooripadhai. com Page 52. Suggested Activities: • Practical-Implementation of Bayesian modeling using Weka tool … Suggested Evaluation Methods: • Implementation demonstration of Bayesian modeling and other simple data preprocessing tasks using Weka tool …

Artificial Intelligence and India
K Sanyal, R Chakrabarti – 2020 – books.google.com
Page 1. OXFORD INDIA SHORT INTRODUCTIONS ARTIFICIAL INTELLIGENCE AND INDIA The Oxford India Short Introductions are concise, stimulating, and accessible guides to different aspects of India. Combining authoritative …

Generalizing from a few examples: A survey on few-shot learning
Y Wang, Q Yao, JT Kwok, LM Ni – ACM Computing Surveys (CSUR), 2020 – dl.acm.org
Page 1. 63 Generalizing from a Few Examples: A Survey on Few-shot Learning YAQING WANG, Hong Kong University of Science and Technology and Baidu Research QUANMING YAO, 4Paradigm Inc. JAMES T. KWOK and …

Improving wake-up-word and general speech recognition systems
GM Bohouta – 2020 – repository.lib.fit.edu
Page 1. Improving Wake-Up-Word and General Speech Recognition Systems by Gamal Mohamed Bohouta A dissertation submitted to the Department of Computer Engineering and Sciences at Florida Institute of Technology …

Change Management–In the case of a fictional merger
H Al-Awadhi – IA13-COVER – innovationarabia.ae
Page 126. ISSN 2708-9525 126 Change Management–In the case of a fictional merger Hamda Al-Awadhi, HBMSU Learner# 200107122 Abstract The case study lists the common guidelines for managing change due to a merger …

Introduction to Environmental Data Analysis and Modeling
ME Emetere, ET Akinlabi – 2020 – books.google.com
Page 1. Lecture Notes in Networks and Systems 58 Moses Eterigho Emetere Esther Titilayo Akinlabi Introduction to Environmental Data Analysis and Modeling Page 2. Lecture Notes in Networks and Systems Volume 58 Series …