Twitter4J & Natural Language 2019


Resources:

References:

See also:

100 Best AI & NLP Resources: Java100 Best GitHub: Twitter OAuth100 Best GoogleCode: Twitter-botStanford Classifier


A review of natural language processing and machine learning tools used to analyze arabic social media
T Kanan, O Sadaqa, A Aldajeh… – 2019 IEEE Jordan …, 2019 – ieeexplore.ieee.org
… They collected datasets through Egyptian tweets where they consist of 10,006 tweets by used Twitter4J API, they collected data sets … related to three main parts: • The dataset was collected through the Arabic Social Media contents • Arabic Natural Language Processing (ANLP …

The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis
M Khader, A Awajan, G Al-Naymat – INTERNATIONAL ARAB JOURNAL OF …, 2019 – iajit.org
… Page 2. The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis 507 … The method was applied on two datasets that were collected using Twitter4j and Flume. The algorithm has achieved high rates of accuracy, recall, precision and F1-score …

Sentiment Analysis on Hate Speech using Twitter
AS Shivaji, VD Reweskar – International Journal of Computer … – pdfs.semanticscholar.org
… ABSTRACT Sentiment analysis is an application of natural language processing … 1. System Architecture In proposed system first the tweets are accessed using Apache spark and Twitter4j API, then they are preprocessed and machine learning is applied to it to get the sentiment …

Deep Semantic Role Labeling for Tweets using 5W1H: Who, What, When, Where, Why and How
K Chakma, A Das, S Debbarma – Computación y Sistemas, 2019 – cys.cic.ipn.mx
… Karaka theory assigns generic semantic roles to words in a natural language sentence … For the attention layer, we use Keras RepeatVector [8] 4https://en.wikipedia.org/wiki/ Me_Too_movement_(India) 5http://twitter4j.org/en/index.html …

CyberDect. A Novel Approach for Cyberbullying Detection on Twitter
A López-Martínez, JA García-Díaz… – … on Technologies and …, 2019 – Springer
… Twitter4J [41] is an unofficial Java library that integrates Twitter API with the Java platform … In order to select which NLP framework use for the processing module, we performed a benchmark between Stanford CoreNLP Natural Language Processing Toolkit [21] and Apache …

Deep Learning Based Sentiment Analysis on Product Reviews on Twitter
A Onan – International Conference on Big Data Innovations and …, 2019 – Springer
… In order to collect dataset, Twitter4J, an open-source Java library for utilizing Twitter Streaming API, has been utilized … In order to build deep learning based classification models on natural language tasks, one key issue is to represent text documents …

Polarity classification tool for sentiment analysis in Malay language
NSAA Bakar, RA Rahmat, UF Othman – 2019 – irep.iium.edu.my
… In Proceedings of Human Language Technologies Conference/Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP 2005) … [22] S. Singh, TN Manjunanh and N. Aswini, A Study on Twitter4j Libraries for Data Acquisition from Tweets …

Novel Sentiment Analysis using Twitter
AS Shivaji, RV Uttam – International Journal of Computer … – pdfs.semanticscholar.org
… ABSTRACT Sentiment analysis is a natural language processing tool that is useful for monitoring and accessing information from Web applications, as it is a treasure of public opinion about … In proposed system first the tweets are accessed using Apache spark and Twitter4j API …

Review of English literature on figurative language applied to social networks
M del Pilar Salas-Zárate, G Alor-Hernández… – … and Information Systems, 2019 – Springer
… Abstract For a long time, figurative language was studied merely from linguistic perspectives, yet it has lately captured the attention of other fields, such as natural language processing, sentiment analysis, and machine learning …

Hierarchical viewpoint discovery from tweets using Bayesian modelling
L Zhu, Y He, D Zhou – Expert Systems with Applications, 2019 – Elsevier
… Bayesian model for hierarchical viewpoint discovery. Previous article in issue; Next article in issue. Keywords. Natural language processing. Opinion mining. Bayesian modelling. 1. Introduction. Stance classification aims to predict one’s …

Suicide Prediction in Twitter Data using Mining Techniques: A Survey
ER Kumar, AKR Rao – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
… In this survey clustering, classification, martingale function, association rule, Natural language processing (NLP) and different machine learning techniques are used … The author used the Twitter API by means of Twitter4J, and questioned the last status by the handle and …

Topic-enriched word embeddings for sarcasm identification
A Onan – Computer Science On-line Conference, 2019 – Springer
… neural networks have been successfully utilized in a number of applications, including image recognition, computer vision and natural language processing [27, 28] … Twitter4J, an open-source Java library for utilizing Twitter Streaming API, has been utilized to collect dataset …

An ontology-based framework for extracting spatio-temporal influenza data using Twitter
UK Jayawardhana, PV Gorsevski – International journal of digital …, 2019 – Taylor & Francis
… knowledge based, often developed to model relationships through descriptions consisting of classes and properties for understanding natural language text in … are collected using an open source Java library for the Twitter Streaming API module called Twitter4J, released under …

Triangulated Sentiment Analysis of Tweets for Social CRM
SE Griesser, N Gupta – 2019 6th Swiss Conference on Data …, 2019 – ieeexplore.ieee.org
… day using twitter4j API Java package. 75 2019 6th Swiss Conference on Data Science (SDS) 978-1-7281-3105-4/19/$31.00 ©2019 IEEE DOI 10.1109/SDS.2019.000-4 Page 2. B. Tweets sentiment scoring We scored the tweets text using three natural language processing (NLP …

Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora
A Jamatia, A Das, B Gambäck – Journal of Intelligent Systems, 2019 – degruyter.com
… Composite Sequential Modeling for Identifying Fake Reviews; Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing); Machine …

Sentiment analysis using semantic similarity and Hadoop MapReduce
Y Madani, M Erritali, J Bengourram – Knowledge and Information Systems, 2019 – Springer
… On the other hand, in recent years, several authors use semantics in sentiment analysis to reduce problems related to natural language processing (NLP), and the … in our work we used two methods to collect the tweets: the first is a Twitter API for java called Twitter4j 2 which …

Developing a System for Big Data Discovery
S Saleh, F Eassa, K Jambi – International Journal of …, 2019 – pdfs.semanticscholar.org
… and it provides a Java-based package for statistical natural language processing, topic modeling, document classification and clustering. We used MALLET as an imple- mentation for topic modeling, which uses the LDA algorithm to train topics. 3) Twitter4j: Twitter4j is a Java …

Social Emotional Opinion Decision with Newly Coined Words and Emoticon Polarity of Social Networks Services
JS Yang, MS Ko, KS Chung – Future Internet, 2019 – mdpi.com
… For this reason, research on text mining, natural language processing, and emotional analysis is actively carried out … Twitter’s search API provides about 1%–2% real-time tweets for all of Twitter’s tweet. Twitter4j library developed on the java platform is used …

Sentiment Analysis on Tweets
M Khatoon, WA Banu, AA Zohra, S Chinthamani – Software Engineering, 2019 – Springer
… Twitter4j package is used for the extraction of tweets … In: Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP) (2005)Google Scholar …

SocialNetCrawler: Online Social Network Crawler
S Pais, J Cordeiro, R Martins, M Albardeiro – Proceedings of the 11th …, 2019 – dl.acm.org
… MOVES project lays at the intersection of important scientific research topics, namely urban informatics, natural language pro- cessing for social media, predictive … to use YouTube Data API, the official YouTube API 5; • Twitter – For Twitter we decided to use Twitter4j, an unoffi …

TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework
JS Murthy, GM Siddesh, KG Srinivasa – Journal of Information & …, 2019 – World Scientific
… framework are: the data collection module is designed to poll tweets from twitter streaming API using Java library called twitter4j … Data pre-processor functions as natural language processing pipeline and does detection and analysis of slangs because the tweets contain …

Towards Predicting Mentions to Verified Twitter Accounts: Building Prediction Models over MongoDB with keras
I Kyriazidou, G Drakopoulos, A Kanavos, C Makris… – 2019 – researchgate.net
… Nonetheless, there have been approaches for inferring trust through natural language processing or matrix factorization techniques combined with the silent but … Its main components are the Twitter4j library which provides a Twitter API for col- lecting data such as account names …

A multilingual fuzzy approach for classifying twitter data using fuzzy logic and semantic similarity
Y Madani, M Erritali, J Bengourram… – Neural Computing and …, 2019 – Springer
… This new method uses natural language processing (NLP) as essen- tial techniques, a sentiment lexicon enhanced with the assistance of SentiWordNet and … use the data coming from Twitter to analyze the performance of Indian movies, and the authors used Twitter4j Java API …

An Ontology-Based Thermal Comfort Management System In Smart Buildings
AT Orozco, A Mouakher, I Ben Sassi… – Proceedings of the 11th …, 2019 – dl.acm.org
… The different steps of our validation layer, are described below: (1) Tweet extraction: Tweets are collected using the Twitter4j8 API … text mining systems need to pass through a pre-treatment step to make status texts able to be processed by natural language processing systems …

Sentiment Analysis of Arabic Tweets in Smart Cities: A Review of Saudi Dialect
S Alotaibi, R Mehmood, I Katib – 2019 Fourth International …, 2019 – ieeexplore.ieee.org
… Since, the sentiment analysis is intersected research area including natural language processing, machine learning, and social media data analytics … TO SENTIMENT ANALYSIS STEPS Sentiment Analysis Steps Tools Tweets’ collection Twitter API, REST API, Twitter4j, Tweepy …

A New Approach for Twitter Event Summarization Based on Sentence Identification and Partial Textual Entailment
D Rudrapal, A Das, B Bhattacharya – Computación y Sistemas, 2019 – cys.cic.ipn.mx
… In addition, a large number of tweets in an event are irrelevant to that event or relevant to other event. Thus, standard Natural Language Processing (NLP) tools do not work well on this genre of text and … 2https://github.com/Twitter4J/Twitter4J Computación y Sistemas, Vol …

Detecting Arabic Depressed Users from Twitter Data
S Almouzini, A Alageel – Procedia Computer Science, 2019 – Elsevier
… Sentiment analysis (SA), also known as opinion mining, is a process that applies natural language processing (NLP) text analysis and machine learning to identify the sentiment of the text as positive … 1 https://www.cs.waikato.ac.nz/~ml/weka/ 2 http://twitter4j.org/en/index.html …

Data Mining And Social Web Semantics
MSAS panchbhai Atul, AK Sureka – pdfs.semanticscholar.org
… Twitter sentiment analysis involves the use of natural language processing to extract, identify to characterize the sentiment content … Data in the form of raw tweets is retrieved by using the Scala library “Twitter4j” which provides a package for real time twitter streaming API …

FACT: a Framework for Analysis and Capture of Twitter Graphs
DT Schroeder, K Pogorelov… – 2019 Sixth International …, 2019 – ieeexplore.ieee.org
… eg, the Botometer bot detection API or Google’s natural language processing API. 1) Library Extension: In order to execute the integration of user-defined analytical tasks with our framework, we imple- mented the special extension for the existing Twitter4J Java- language client …

A tool for spatio-temporal analysis of social anxiety with Twitter data
J Lee, D Sohn, YS Choi – Proceedings of the 34th ACM/SIGAPP …, 2019 – dl.acm.org
… Morphological analysis is very important process in NLP (Natural Language Processing) to understand linguistic characteristics and structure of words … 4.1 Twitter Data Collection Using a Tweet crawler (of Twitter4j) distributed publicly as Open API [11], we collected 2,711,807 …

Content Based Sentiment Analysis for Turkish Twitter Feeds Through Vector Space Model
H Karamollao?lu, ?A Do?ru, N Ar?c?… – 2019 1st International …, 2019 – ieeexplore.ieee.org
… [24] Twitter4J. Available online: http://twitter4j.org/en/index.html (accessed on 27 Feb 2019) [25] MD Ak?n, AA Ak?n, “An Open Source Natural Language Processing Library for Turkic Languages: Zemberek,” Electrical Engineering, 431, 38-44, 2007.

Context Based Sentiment Analysis Of Twitter Using Hadoop Framework
RR Tarun, JS Sahana, BS Sadvik, S Shashank… – 2019 – academia.edu
… Many researchers have used Tweepy which is a Python library for obtaining the Twitter APIs or Twitter4J which is a … P., “Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank”, Conference on Empirical Methods in Natural Language Processing, 2013 …

Twitter Sentiment Analysis
RS Rathaur – 2019 – researchgate.net
… Foundations of Statistical Natural Language Processing … The code has the following dependencies: 1. Stanford Classifier library: http://nlp.stanford.edu/software/classifier.shtml 2. OpenNLP MaxEnt library: http://maxent.sourceforge.net/index.html 3. Twitter4J is an external library …

Multi-label classification of microblogging texts using convolution neural network
MA Parwez, M Abulaish – IEEE Access, 2019 – ieeexplore.ieee.org
… Recently, a new concept of distributional representation of words as vectors (aka word embeddings) that encrypt the semantic information about representative words has brought new insight to several Natural Language Processing (NLP) applications …

Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study
M Noori, J Maktoubian – 2019 – pdfs.semanticscholar.org
… it is a kind of natural language processing(NLP) for identify the mood of the people about a particular issue[13]. Traditionally, blog posts and contents on the website have been used as a raw data … Using Twitter4j library make twitter source capable to access streaming API …

Social Media Analysis For Transit Assessment
GG Zhang, A Giarrusso, A Philip, F Naz, V Patel, X Ma… – ctedd.uta.edu
… text data. Preliminary: Convolution Neural Network in Natural Language Processing To … the database. The framework was written in python, and twitter4J library was used to connect the twitter streaming API to our software. With …

How to Analyze Social Media? Assessing the Promise of Mixed-Methods Designs for Studying the Twitter Feeds of PMSCs
A Schneiker, M Dau, J Joachim… – International Studies …, 2019 – academic.oup.com
Abstract. Social scientists and international relations scholars are increasingly analyzing data collected from Twitter or Facebook to examine political proces.

Focus: A recommender system for mining api function calls and usage patterns
PT Nguyen, J Di Rocco, D Di Ruscio… – 2019 IEEE/ACM 41st …, 2019 – ieeexplore.ieee.org
… org.neo4j 28 4,983 org.restlet 19 326 org.springside 16 821 twitter4j 45 597 610 55,425 that many projects only differ in their version numbers (ant- 1.6.5.jar and ant-1.9.3.jar, for instance, are two versions of the same project ant) …

A Framework for Automatic Categorization of Social Data Into Medical Domains
G Sharma, G Srivastava, V Mago – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… With respect to dis- aster management policy development, researchers extracted relevant information from the unstructured data using natural language processing (NLP) and then built a representation of … The HBC is divided into two main modules: hbc-core and hbc-twitter4j …

A survey on sentiment analysis and opinion mining for social multimedia
Z Li, Y Fan, B Jiang, T Lei, W Liu – Multimedia Tools and Applications, 2019 – Springer
… Sentiment analysis for social multimedia is therefore no longer just a topic in natural language processing and it also has a relationship with computer … A public streaming Twitter API, called Twitter4J, was adopted to collect representative tweets based on 406 emotional words …

Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
M Jaderyan, H Khotanlou – International Journal of Engineering, 2019 – ije.ir
… These platforms are being employed to acquire and analyze information in applications such as public opinion mining [1, 2], prediction based on public opinions [3], individual reputation scoring and management [1], natural language processing [4], privacy protection [5], event …

Evidential fine-grained event localization using Twitter
ZK Shahraki, A Fatemi, HT Malazi – Information Processing & Management, 2019 – Elsevier
… 5.1. Data filtering. As one of the applications of natural language processing, text mining has attracted considerable attention over the past few years due to the exponential growth of digital texts such as web pages and social networks like Twitter …

Multidimensional analysis of hot events from social media sources
A Troudi, S Jamoussi, CA Zayani, I Amous – Proceedings of the 34th …, 2019 – dl.acm.org
… We used an API Rest and Twitter4j API for Twitter, Graph API for Facebook, Google API for Google Plus and YouTube API for YouTube … In Fifth International Joint Conference on Natural Language Processing, IJCNLP 2011, Chiang Mai, Thailand, November 8-13, 2011 …

An effective Decision Support System for social media listening based on cross-source sentiment analysis models
P Ducange, M Fazzolari, M Petrocchi… – … Applications of Artificial …, 2019 – Elsevier
… 2016), an NB classifier, a Maximum Entropy learner and a knowledge-based tool performing deep analysis of the natural language sentences are … The integration with Twitter is performed by exploiting Twitter4J 9 , an unofficial Java library, which is used to interact with Twitter …

Crisis and Disaster Situations on Social Media Streams: An Ontology-Based Knowledge Harvesting Approach
SK Narayanasamy, D Muruganantham… – Interdisciplinary Journal of …, 2019 – ijikm.org
… Recommendations for Practitioners Though metadata avails collaborative details of news content and it has been conventionally used in many areas like information retrieval, natural language processing, and pattern recognition, there is still a lack of fulfillment in se- mantic …

Sentiment Analysis System in Big Data Environment
WN Chan – 2019 – onlineresource.ucsy.edu.mm
Page 1. SENTIMENT ANALYSIS SYSTEM IN BIG DATA ENVIRONMENT WINT NYEIN CHAN UNIVERSITY OF COMPUTER STUDIES, YANGON JANUARY, 2019 Page 2. Sentiment Analysis System in Big Data Environment Wint Nyein Chan …

Class Association and Attribute Relevancy Based Imputation Algorithm to Reduce Twitter Data for Optimal Sentiment Analysis
M Bibi, MSA Nadeem, IH Khan, SO Shim… – IEEE …, 2019 – ieeexplore.ieee.org
… M. Bibi et al.: CAARIA to Reduce Twitter Data for Optimal Sentiment Analysis keyword flu with the help of Twitter4j API.2 It is a collection of tweets from Pakistani Twitter users … 2http://twitter4j. org/en/ 3http://www.d.umn.edu/~tpederse/Group01/WordNet/wordnet- stoplist.html …

Understanding the psycho-sociological facets of homophily in social network communities
RS Solomon, P Srinivas, A Das… – IEEE Computational …, 2019 – ieeexplore.ieee.org
… API Twitter4j.2 The users needed to categorise their followers/ followings into four pre-defined categories: friends, relatives, colleagues, and other … number Of features 52 37 65 38 54 47 65 53 39 48 2http://twitter4j.org 3https://www.mturk.com 4http://www.rapidworkers.com …

“TwitterSpamDetector”: A Spam Detection Framework for Twitter
AT Kabakus, R Kara – … Journal of Knowledge and Systems Science …, 2019 – igi-global.com
Page 1. DOI: 10.4018/IJKSS.2019070101 International Journal of Knowledge and Systems Science Volume 10 • Issue 3 • July-September 2019 Copyright©2019,IGIGlobal.Copyingor distributinginprintorelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited. 1 …

Sentiment analysis of product reviews in the absence of labelled data using supervised learning approaches
W Muhamamd, M Mushtaq, KN Junejo… – Malaysian Journal of …, 2019 – researchgate.net
… The data set comprised of large number of tweets collected from twitter using Twitter API, and twitter4j … common-sense knowledge by exploiting both ar- tificial intelligence and semantic web techniques in order to recognise, process, and interpret natural language opinions over …

Influential Nodes Identification Based on Activity Behaviors and Network Structure With Personality Analysis in Egocentric Online Social Networks
D Sarkar, S Debnath, DK Kole, P Jana – International Journal of …, 2019 – igi-global.com
… Heretheapplicationofsocialmedialibraries(Fredriketal.,2017)hasbeenusedtocrawlthe previouslydescribeddata.Therefore,alldataexcludingDataset3and8fromindividualsocialnetworks (Twitter,Facebook,LinkedIn),thejavalibrariesofthemhavebeenused;’Twitter4J’4(Yusuke …

Classification Model for Bullying Posts Detection
K Nalini, L Jabasheela – Cyberspace, 2019 – intechopen.com
… Zhao et al. [9] applied a collection of features known as EBoW (Natural Language Processing method), containing a bag of words structure connected with Latent Semantic analysis and word embeddings by computing word vectors …

Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics
M Pérez-Pérez, G Pérez-Rodríguez… – Journal of medical …, 2019 – jmir.org
… Namely, text mining (TM) and natural language processing methods and techniques are being applied to systematically identify the topics under discussion as well as study the relationships among individuals … The Java library Twitter4J [22] was used to perform such collection …

A Framework for Detecting Event related Sentiments of a Community
MA Jarwar – arXiv preprint arXiv:1903.00232, 2019 – arxiv.org
… Page 9. viii List of Tables 2.1 CoreNLP Natural Language Processing supported tools ….. 25 … human behavior [James, 1884]. In natural language processing emotion classification from text is a growing field. In this field Paul Ekman’s six basic classes of emotions …

Analytics and evolving landscape of machine learning for emergency response
M Hong, R Akerkar – Machine Learning Paradigms, 2019 – Springer
… messages. There is also another study considers social media data. Fersini et al. implemented a decision support system using machine learning and natural language processing to effectively detect and warn the earthquake [37]. On …

Identification of Enablers and Barriers for Public Bike Share System Adoption using Social Media and Statistical Models
A Serna, T Ruiz, JK Gerrikagoitia, R Arroyo – Sustainability, 2019 – mdpi.com
… Serna, Gerrikagoitia, Bernabe, and Ruiz [33] have analyzed the bike-sharing systems in Spain through natural language processing (NLP) techniques of … Data collecting from Twitter has been done by selecting bike-sharing channels using the twitter4j Java API (application …

Topic specific emotion detection for retweet prediction
SN Firdaus, C Ding, A Sadeghian – International Journal of Machine …, 2019 – Springer
… It was collected using Twitter API 1.1 connected through third party Twitter library Twitter4J 1 . This dataset contains tweet/retweet data of 109000 users collected every 2 weeks in the month of May, June, and July in year 2013 …

Finding optimal pedagogical content in an adaptive e-learning platform using a new recommendation approach and reinforcement learning
Y Madani, H Ezzikouri, M Erritali, B Hssina – Journal of Ambient …, 2019 – Springer
… Before the definition of motivation, two important steps make the tweets ready for classification: The first step is the extraction of the tweets and Facebook posts published in the period of activity, in this step we used the Twitter4J API.1 (5) … Twitter4J is an unofficial library. Page 8 …

Identification of Enablers and Barriers for Public Bike Share System Adoption using Social Media and Statistical Models
A Serna Nocedal, T Ruiz, JK Gerrikagoitia, R Arroyo – 2019 – addi.ehu.es
… Serna, Gerrikagoitia, Bernabe, and Ruiz [33] have analyzed the bike-sharing systems in Spain through natural language processing (NLP) techniques of … Data collecting from Twitter has been done by selecting bike-sharing channels using the twitter4j Java API (application …

Semantics-based sensitive topic diffusion detection framework towards privacy aware online social networks
C Valliyammai, A Bhuvaneswari – Cluster Computing, 2019 – Springer
… The Noun-Phrase Terms \({\text{NP}}({\text{Terms }}T_{i} )\) referred in the social post is extracted using Natural Language Processing (NLP) … About 4500 posts are crawled and also the privacy setting of distinct users are retrieved. 5.2 Natural language processing (NLP) …

A Systematic Study on the Role of SentiWordNet in Opinion Mining
M HUSNAIN, MMS MISSEN, N AKHTAR… – researchgate.net
… (1) Classification approaches (2) Natural Language Processing (NLP) approaches and (3) Lexicon-based approaches [6, 16, 17, 30] … Similarly, Twitter [36] provides two API’s namely REST and Twitter4J to extract static and continuously streaming tweet data …

A big data infrastructure for real-time traffic analytics on the cloud
Y Gong – 2019 – minerva-access.unimelb.edu.au
… There are 3,960 lines of code in this repository. • Social Media Harvesters 3: This repository contains the social media data harvesters written in Java. Twitter4j 4 and Java Spring framework 5 were used as the major libraries. There are 2,672 lines of code in this repository …

Modeling online user behaviors with competitive interactions
S He, X Zheng, DD Zeng – Information & Management, 2019 – Elsevier
Skip to main content Skip to article …

MMARRS: An Intelligent Route Recommendation and Road Traffic Information System for Multimodal and Unimodal Public Transportation using Text Analysis
ERP Bondoc, FPM Caparas, JED Macias… – 2018 IEEE 10th … – ieeexplore.ieee.org
… Twisted use of sentiment; Unrelated keywords (should it have gone pre- processing) Unsupervised Data are gathered from Twitter (Table 2) through requesting authentication keys, requiring access tokens for API requests, and using Twitter Streaming API and twitter4j libraries …

Social Media for Crisis Response: Filtering, Measuring and Improving Data
S Halse – 2019 – etda.libraries.psu.edu
Page 1. The Pennsylvania State University The Graduate School College of Information Sciences and Technology SOCIAL MEDIA FOR CRISIS RESPONSE: FILTERING, MEASURING AND IMPROVING DATA A Dissertation in Information Sciences and Technology by …

Privacy Risks of Sensitive User Data Exposure in Mobile Ecosystems.
BE Andow – 2019 – repository.lib.ncsu.edu
… techniques that improve the state of the art. We observe that natural language processing and text analytics can be leveraged to address much of the aforementioned limitations … privacy policies. It then uses sentence-level natural language processing to capture …

Exploring Twitter use and services of academic innovation centers
B Stvilia, L Gibradze – The Journal of Academic Librarianship, 2019 – Elsevier
… The data were collected and processed by using the Twitter API (application programming interface) with the twitter4j Java libraries 1 and additional Java and Python codes developed by one of the authors. The data were harvested on November 26, 2018 …

Evolution of recommender system over the time
BB Sinha, R Dhanalakshmi – Soft Computing, 2019 – Springer
… Tran et al. (2018). Twitter data collected using Twitter4J. Hashtag recommendation algorithm and cosine similarity. 1. Precision … 2. 22 Diabetes videos. 3. 21 Hypertension videos. 1. Natural language processing. 2. Cohen’s kappa. 1. Normalized discounted cumulative gain (NDCG …

Cognitive satellite communications and representation learning for streaming and complex graphs.
W Liu – 2019 – ir.library.louisville.edu
… which is capable of modeling overlapping relations. But it focuses on extracting the facts of entities from natural language sentences and is only able to learn the sentence-level embedding presentations. The future similar works, such as SE [46], also concentrate on …

A Data Driven Priority Scheduling technique for a Stream Processing Platform
OA Ajila – 2019 – curve.carleton.ca
… elements of the text to determine whether a sentence expresses an opinion, feeling or emotion [24]. In recent times natural language processing techniques, machine learning and lexicon based approaches have been used to extract and analyze sentiment from text [22] …

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