Twitter4J & Natural Language 2017


Resources:

References:

See also:

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


Agile Model Based Sentiment Analysis from Social Media
I Kaur, TK Bhatia, A Verma – International Journal of Computer …, 2017 – search.proquest.com
… Scan the twitter and fetching the Live Tweets from Twitter server using Twitter4J Advance Java Interface and implementing the Stanford NLP Library (Natural Language Parsing) using Advance Java intended for categorizing the tweets interested in positive, negative as well as …

Real time road traffic event detection using Twitter and spark
KR Pandhare, MA Shah – Inventive Communication and …, 2017 – ieeexplore.ieee.org
… We also used some text mining, machine learning, statistics and natural language processing techniques to extract meaningful information from raw tweets … Index Terms— Traffic event detection, Apache spark, Binary classification, Twitter4j, NLP, Text mining …

Conceptual notion for opinion mining from upcoming big data
R Dembala, S Vagdevi – Electrical, Electronics, Communication …, 2017 – ieeexplore.ieee.org
… A Twitter Sentiment analysis using Hadoop was proposed by (Patil et al) [19]. The data is fetched from the twitter using Twitter 4J and preprocessed by removing URL and stop words using map reduce … Sentiment analysis requires text analytics, natural language processing etc …

The Impact of Figurative Language on Sentiment Analysis
T Hercig, L Lenc – … Conference Recent Advances in Natural Language …, 2017 – acl-bg.org
Proceedings of Recent Advances in Natural Language Processing, pages 301–308, Varna, Bulgaria, Sep 4–6 2017 … (2015) have created a dataset of figurative tweets using Twitter4j API and a set of hashtag queries (#sarcasm, #sarcastic, #irony and words such as figuratively) …

Drug Side Effect Analyser Using Machine Learning
A Bhat, AP Dsouza, KT Rajgopal, J Bhat – International Journal, 2017 – academia.edu
… All the tweets are merged into a single file for the data processing step. Data processing is done with the help of natural language toolkits and regex of python … A. Collect tweets from twitter In this project, twitter4j library is used along with twitter API to collect tweets …

Deep Learning Based User Belief Extraction from Social Media and Predictive Analytics
YK Manocha – researchmanuscripts.com
… This research work extracts the real time tweets from Twitter Social Medial using Twitter4J that is Java based API and further analytics can be done effectually. In association with these technologies, the Stanford Libraries for natural language processing is integrated so that the …

Drug Side Effect Analyser Using Machine Learning.
AP Dsouza, KT Rajgopal – International Journal of …, 2017 – search.ebscohost.com
… All the tweets are merged into a single file for the data processing step. Data processing is done with the help of natural language toolkits and regex of python … A. Collect tweets from twitter In this project, twitter4j library is used along with twitter API to collect tweets …

Sentiment Analysis of Twitter Streaming Data for Recommendation using, Apache Spark
A Palve, RD Sonawane, AD Potgantwar – International Journal of …, 2017 – ijsrnsc.org
… Bian, Jiang, Umit Topaloglu, and Fan Yu describe an approach to find drug users and potential adverse events by analyzing the content of twitter messages utilizing Natural Language Processing (NLP) and to build Support Vector Machine (SVM … They have used the Twitter4j …

A Framework for Natural Disaster Management System Using Twitter Data
MV Sangameswar, MN Rao, MS Kumar – International Journal Of …, 2017 – ijecs.in
… In this twitter API, Twitter 4J classes and methods are used to get tweets of an exact user … language, or unclear place names can lead to failures when trying to predict coordinates .this can be mediated through either the development of a natural language pre-processing (NLP …

Building a Natural Disaster Management System based on Blogging Platforms
MN Rao, MS Kumar – International Journal of Modern …, 2017 – search.proquest.com
… In this twitter. API, Twitter 4J classes and methods are used to get tweets. of an exact user … coordinates .this can be mediated through either the. development of a natural language pre-processing (NLP). library built specifically for micro text/microblogging …

A characterization study of arabic twitter data with a benchmarking for state-of-the-art opinion mining models
R Baly, G Badaro, G El-Khoury, R Moukalled… – … Natural Language …, 2017 – aclweb.org
… However, applying Natural Language Process- ing (NLP) and learning opinion models for Arabic Twitter data is not straightforward due to several reasons … three sets of tweets that were retrieved from Egypt, the Arab Gulf and the Levant, using the Twitter4J API (Yamamoto, 2014 …

A Framework for Identifying Excessive Sadness in Students through Twitter and Facebook in the Philippines
HD Zuorba, CLO Olan, AD Cantara – Proceedings of the International …, 2017 – dl.acm.org
… 3.4 Topic Modeling In Machine Learning and Natural Language Processing, a topic model is a type of statistical model for discovering the abstract topics that occur in a collection of documents … The Twitter4J library was used to collect Twitter data …

TACIT: An open-source text analysis, crawling, and interpretation tool
M Dehghani, KM Johnson, J Garten, R Boghrati… – Behavior research …, 2017 – Springer
… Using twitter4j (http://twitter4j.org/), the TACIT Twitter Crawler collects tweets and relevant information about each tweet (such as number … Arguably, the most popular natural-language platform in social psychology is LIWC, developed by James Pennebaker and his collaborators …

Arabic Social Media Analysis and Translation
F Mallek, B Belainine, F Sadat – Procedia Computer Science, 2017 – Elsevier
… Tweet Translation Workshop at the International Conference Of the Spanish Society For Natural Language (SEPLN 2015), . 2015 Yamamoto, Y. Twitter4J-An open-sourced, mavenized and Google App Engine safe Java library for the Twitter API, released under the BSD license …

Lack of consensus among sentiment analysis tools: A suitability study for SME firms
A Connelly, VÌ Kuri, M Palomino – ltc.amu.edu.pl
… 2017. The Stanford Natural Language Processing Group [Online]. Available: https://nlp.stanford. edu/ [Accessed 2017] … YAMAMOTO, Y. 2017. Twitter4J – An unofficial Java library for the Twitter API [Online]. Available: http://twitter4j.org/en/ [Accessed 2017].

Mining user Message Pattern for Suspicious Behavior on Terrorism using NLP in Social Networks with Single Sign-On
MP Selvan, R Selvaraj – Indian Journal of Science and Technology, 2017 – indjst.org
… JavaMail API and Twitter4j API are used to retrieve the data from Gmail and Twitter. For our Page 4 … These dataset are passed to NLP for processing and the data pattern returned by the Natural Language Processor are stored for further pro- cessing …

Design and implementation of a toolkit for the aspect-based sentiment analysis of tweets
M Hagge, M von Hoffen, JH Betzing… – … Informatics (CBI), 2017 …, 2017 – ieeexplore.ieee.org
… II. RESEARCH BACKGROUND A. Natural language processing Originating from the area of computational linguistics, NLP is an interdisciplinary research field that aims at … To simplify the extraction of tweets from the Twitter Search API, we integrated the Twitter4J Java library [30 …

Sonifying Twitter’s emotions through music
M Seiça, RB Lopes, P Martins, FA Cardoso – cdv.dei.uc.pt
… To retrieve the tweets, we are using the Twitter4j Java library … The next task was to implement a set of natural language processing (NLP) tools to parse the tweets, establishing the structure of sentences, word dependencies and “Part-Of-Speech Tagging”, classifying each word …

Social stream clustering to improve events extraction
F Jenhani, MS Gouider, LB Said – International Conference on Intelligent …, 2017 – Springer
… In our case, they will be promoted to an events extraction pipeline as ready data for processing using Natural Language Processing tools … The spout implements a keyword based crawler, therefore we imported Twitter4j library as well …

Active learning-based approach for named entity recognition on short text streams
C Van Tran, TT Nguyen, DT Hoang, D Hwang… – Multimedia and Network …, 2017 – Springer
… volume 506). Abstract. The named entity recognition (NER) problem has an important role in many natural language processing (NLP) applications and is one of the fundamental tasks for building NLP systems. Supervised learning …

Tweet data Preprocessing and Segmentation to NER
MS Patil, V Wangikar, K Jayamalini – ijser.org
… Maximum entropy [4] is a proba- bility distribution estimation technique widely used for a va- riety of natural language tasks, such as language … Also demon- strated how one can use twitter4j for streaming … [6] Shilpy Singh,Manjunath TN, Aswini N,” A Study on Twitter 4j Li- braries …

Social Stream Clustering to Improve Events Extraction
LB Said – Intelligent Decision Technologies 2017: Proceedings of …, 2017 – books.google.com
… In our case, they will be promoted to an events extraction pipeline as ready data for processing using Natural Language Processing tools … The spout implements a keyword based crawler, therefore we imported Twitter4j library as well …

Machine Learning and Semantic Sentiment Analysis based Algorithms for Suicide Sentiment Prediction in Social Networks
M Birjali, A Beni-Hssane, M Erritali – Procedia Computer Science, 2017 – Elsevier
… Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011. 18. WEKA: A machine learning tool set. Software downloadable from http://www.cs.waikato.ac.nz/ml/weka/index_downloading.html. 19. Twitter4J, Unofficial java …

Large Scale Opinion Mining For Social, News And Blog Data
V Bhatt, H Tyagi – troindia.in
… as a Scripting dialect to extract data utilizing a Twitter API named as Twitter4j utilizing Net … Data Extraction The data is extracted using twitter API named as Twitter 4j.It consist … Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume …

Big data analysis to Features Opinions Extraction of customer
A Mars, MS Gouider – Procedia Computer Science, 2017 – Elsevier
… 3.3.2. POS-tagging of Tweet Before discussing the application of part-of-speech tagging from natural language processing, we first give some … Twitter4j: Twitter4J is a Twitter API binding library for the Java language licensed under Apache License 2.0 .It is an open source library …

Prediction of Twitter Users’ Interest Based on Tweets
N Mangal, S Kanwar, R Niyogi – … of the First International Conference on …, 2017 – Springer
… Tweets are collected using the Twitter4j api in Java … Some of these approaches use machine learning, pattern based and natural language processing. In [1] different classifiers in mixed way are used to get better sentiment results …

Recognition of Sarcasm in Microblogging Based on Sentiment Analysis and Coherence Identification
P Tungthamthiti, K Shirai, M Mohd – Information and Media …, 2017 – jstage.jst.go.jp
… 9 http://twitter4j.org/en/index.html Page 14. Information and Media Technologies 12: 80-102 (2017) reprinted from: Journal of Natural Language Processing 23(5): 383-405 (2017) © The Association for Natural Language Processing 93 evaluators to distinguish …

Reusing stanford POS tagger for tagging Urdu sentences
A Naseem, M Anwar, S Ahmed, A Jan… – … (ICET), 2017 13th …, 2017 – ieeexplore.ieee.org
… Index Terms—“Stanford-Part-of-speech Tagger; Google- Translator; Multi-lingual labling”; I. INTRODUCTION Natural language processing (NLP) is an area focused on the interactions between computer system and humans (natural) languages … 2http://twitter4j.org/en/index.html …

Computer-assisted thematic analysis of Typhoon Fung-Wong tweets
JR Ancheta, C Sy, L Maceda, N Oco… – Region 10 Conference …, 2017 – ieeexplore.ieee.org
… A. Data Collection In mining the tweets, we used Twitter4J, a Java library that integrates with the Twitter Application … It is a toolkit for “statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning …

A Web Based Application for Sentiment Analysis
H Jain – 2017 – mecs-press.org
… API Support matrix. Available: http://twitter4j.org/en/api-support.html. [20] Christopher D. Manning, Hinrich Schütze: Foundations of Statistical Natural Language Processing, MIT Press (1999), ISBN 978-0-262-13360-9, p. xxxi [21] Cambria, Erik; White, Bebo (2014) …

Sentiment analysis on tweets about diabetes: an aspect-level approach
MP Salas-Zárate, J Medina-Moreira… – … methods in medicine, 2017 – hindawi.com
… The semantic annotation is carried out through of a natural language processing (NLP) tool, namely, Stanford NLP, and in accordance with a domain … The corpus consists of a total of 900 tweets, which were collected use Twitter4J, a Java library that facilitates the usage of …

Profiles Matching in Social Networks Based on Semantic Similarities and Common Relationships
A Choumane, Z Al Abidin Ibrahim… – Proceedings of the …, 2017 – dl.acm.org
… Then, we developed a Java crawling application based on twitter4j API3 … We used several existing tools in natural language processing like PTBTokenizer for the decomposition of text into words and Stanford’s Lemmatizer for lemmatization4 …

Building timelines of soccer matches from twitter
A Edouard, E Cabrio, S Tonelli, LT Nhan – … advances in natural language …, 2017 – acl-bg.org
Page 1. Proceedings of Recent Advances in Natural Language Processing, pages 208–213, Varna, Bulgaria, Sep 4–6 2017 … 2https://www.mongodb.com/ 3http://twitter4j.org/en/index.html 4https://dev.twitter.com/streaming/overview 5Angular JS https://angularjs.org/ 210 Page 4 …

Analysis of Tweets to Find the Basis of Popularity
RK Mudgal, R Niyogi – … Conference on Computational Science and Its …, 2017 – Springer
… We used Twitter4j api in Java to collect the tweets, initially for user selection, and then later to get data about that user … Some approaches use natural language processing, some uses pattern based approach and some takes into account machine learning …

Identifying sentiment of hookah-related posts on Twitter
JP Allem, J Ramanujam, K Lerman… – JMIR public health …, 2017 – ncbi.nlm.nih.gov
… Data were obtained from Twitter’s Streaming Application Program Interface (API) based on Twitter4J libraries, an open source database of java … After debiasing the data, machine learning methods for natural language processing (NLP) were used to identify sentiment of tweets …

Word Sense Disambiguation for Lexicon-Based Sentiment Analysis
EW Pamungkas, DGP Putri – … of the 9th International Conference on …, 2017 – dl.acm.org
… 1. INTRODUCTION Sentiment Analysis is a topic on natural language processing that is increasingly attracts the attention of many researchers … We got 899 data from Google PlayStore. Then, data from Twitter is obtained by using Twitter4J. We got 567 data from Twitter …

A named entity recognition approach for tweet streams using active learning
VC Tran, DT Hoang, NT Nguyen… – Journal of Intelligent & …, 2017 – content.iospress.com
… 5 http://twitter4j.org … References. [1]. Ritter A. , Clark S. and Etzioni O. , Named entity recognition in tweets: An experimental study, Proceedings of the Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, (2011) . [2] …

Emotional community detection in social networks
A Kanavos, I Perikos, I Hatzilygeroudis… – Computers & Electrical …, 2017 – Elsevier
… Stanford Parser analyzes natural language sentences and annotates the sentence words based on their interaction in the sentence [4,19] … The Twitter4J 1 is used for collecting tweets that have been addressed during various periods of time and also for a diversity of topics with …

Plexus: An Interactive Visualization Tool for Analyzing Public Emotions from Twitter Data
X Wu, L Bartram, C Shaw – arXiv preprint arXiv:1701.06270, 2017 – arxiv.org
… 1. Data Processing Twitter4J [15], an unofficial Java library for the Twitter API, processes all the search queries from Twitter … this software is based on the AlchemyLanguage service from IBM [12], which offers a collection of functions and APIs for natural language processing and …

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets
Z Wang, G Bai, S Chowdhury, Q Xu… – arXiv preprint arXiv …, 2017 – arxiv.org
… Sentiment Analysis. Sentiment analysis is a growing area of Natural Language Pro- cessing … The data crawlers are developed by using the Twitter4J, a Java library for the Twitter Application Programming Interface (API) that can easily integrate data crawler with Twitter service …

User Opinion Analysis On Turkish Tweets
K Kebabc?, B Diri – dergipark.gov.tr
… Tweet classification is a sub-field of text classification [2], in which many studies are carried out using machine learning and natural language processing methods … Since the language in the developed system is Java, Twitter4J that uses the Twitter API has been preferred …

GOAALLL!: Using sentiment in the world cup to explore theories of emotion
GM Lucas, J Gratch, N Malandrakis… – Image and Vision …, 2017 – Elsevier
… To capture tweets, we utilized a java-based recorder employing Twitter Streaming API and Twitter4J Java library … Specifically, the language classification was performed on each tweet by implementing [15], using Natural Language Processing with Python2009 [16] …

Prediction Of User Rare Sequential Topic Patterns Of Internet Users
M SANGEEGTHA, D SWATHI, J PRIYANKA… – 2017 – irjet.net
… To extract the topic of document streams an algorithm called Natural Language processing is used to process and monitor dynamic users activities … Using twitters key and email id the mail content and twitter content can be extracted using Java Mail API and Twitter4j API …

Tracking geographical locations using a geo-aware topic model for analyzing social media data
MG Lozano, J Schreiber, J Brynielsson – Decision Support Systems, 2017 – Elsevier
… The last 3200 tweets from large news networks’ Twitter handles were collected on April 27th, 2016 using Twitter4J … sets using Spark, the preprocessing was mainly performed (still with Spark in parallel) using Stanford NLP’s package for natural language processing [41] …

Inducing Personalities and Values from Language Use in Social Network Communities
U Kumar, AN Reganti, T Maheshwari… – Information Systems …, 2017 – Springer
Page 1. Inf Syst Front DOI 10.1007/s10796-017-9793-8 Inducing Personalities and Values from Language Use in Social Network Communities Upendra Kumar1 · Aishwarya N. Reganti1 · Tushar Maheshwari1 · Tanmoy Chakroborty2 · Björn Gambäck3,4 · Amitava Das1 …

Cross-Domain Data Fusion for Disaster Detection
S Ghosh – 2017 – libtreasures.utdallas.edu
… Fig. 4.3 Snippet of raw data obtained using twitter4j API Page 25. 16 … Event Registry also does global media monitoring, natural language processing, cross-lingual analytics, event identification, event information extraction and contextualization. It is a system that can analyze …

Data Analytics Framework: R and Hadoop–Geo-location based Opinion Mining of Tweets
K Santhiya, V Bhuvaneswari – pdfs.semanticscholar.org
… Further we use natural language processing (NLP) techniques like POS tagging, parsing, text mining and sentiment analysis … In the existing literature, most of the researches used Tweepy (A Python library for accessing the twitter API) and Twitter4J (A Page 3 …

Tagging Urdu Sentences from English POS Taggers
A Naseem, M Anwar, S Ahmed, QA Satti… – Corpus, 2017 – pdfs.semanticscholar.org
… Abstract—Being a global language, English has attracted a majority of researchers and academia to work on several Natural Language Processing (NLP) applications … 1http://twitter.com/ 2http://twitter4j.org/en/index.html 3https://translate.google.com/ Page 5 …

Sentiment Analysis of Social Media Using MapReduce
N Nasir, K Zafar, Z Alamgir – researchgate.net
… It suggested using WordMap, a lexicon dictionary, and natural language processing rules in MapReduce functions for classifying the sentiment of huge corpus … 4.1 Training data collection and Filtering We used Twitter4j API4 to collect training dataset …

A combination of active learning and self-learning for named entity recognition on Twitter using conditional random fields
VC Tran, NT Nguyen, H Fujita, DT Hoang… – Knowledge-Based …, 2017 – Elsevier
… Abstract. In recent years, many applications in natural language processing (NLP) have been developed using the machine learning approach. Annotating data is an important task in applying machine learning to NLP applications …

Sarcasmometer using sentiment analysis and topic modeling
N Bhan, M D’silva – Advances in Computing, Communication …, 2017 – ieeexplore.ieee.org
… These tweets are retrieved from Twitter using the Twitter streaming API (Twitter4j) … It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation …

Fuzzy Opinion: Detection of Opinion Based on SentiWordNet Dictionary by Using Fuzzy Logic
MA Boudia, RM Hamou, A Amine – Fuzzy Systems: Concepts …, 2017 – igi-global.com
… In our project we have used Twitter 4J as for the Twitter API which is the unofficial Java library … All that one has to return to the system, inference rules are expressed in natural language … All corpus of opinion are paying, which oblige us to use the Twitter4J API: allows access to …

Real-time Lexicon-based sentiment analysis experiments on Twitter with a mild (more information, less data) approach
Y Arslan, A Birturk, B Djumabaev… – Big Data (Big Data) …, 2017 – ieeexplore.ieee.org
… of affective states and subjective information in the customer data (such as reviews and survey responses, online and social media) by using natural language processing and … This data set is downloaded using Twitter4J API [15], which supplies up to 100 tweets in each call …

Real time sentiment analysis of tweets using machine learning and semantic analysis
R Rajput, A Solanki – 2017 – researchgate.net
… 5.1 Data extraction module The application uses ‘Twitter4J’ API to extract the tweets … Y. and Cardie, C., “Multi-level Structured Models for Document-level Sentiment Classification” in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Process- ing …

SONAR: Automatic Detection of Cyber Security Events over the Twitter Stream
Q Le Sceller, EMB Karbab, M Debbabi… – Proceedings of the 12th …, 2017 – dl.acm.org
… Term frequency-inverse document frequency (Tf-idf ) is a famous technique adopted in the eld of natural language processing. The Page 6 … Data Collection. Tweets are collected using Java Twitter4J2 library directly linked with Kafka …

Automatic detection of satire in Twitter: A psycholinguistic-based approach
M del Pilar Salas-Zárate, MA Paredes-Valverde… – Knowledge-Based …, 2017 – Elsevier
… The recognition of satire by sentiment analysis and Natural Language Processing (NLP) applications is extremely important because it can influence and … The tweet collection from the Twitter Streaming API was built using Twitter4J, 2 a Java-based library that facilitates the …

Mining User-Aware Rare Sequential Topic Pattern in Document Streams
A Mary, A Anbarasi, G Bhavana – ijltes.com
… activity. We extract the topic of document stream content using Stanford Natural Language Processing … Gmail. Using twitters key and email id the mail content and twitter content can be extracted using Java Mail API and Twitter4j API …

Automating a framework to extract and analyse transport related social media content: The potential and the challenges
T Kuflik, E Minkov, S Nocera, S Grant-Muller… – … Research Part C …, 2017 – Elsevier
… The challenges faced in automatically analysing Twitter messages, written in natural language and in Twitter’s specific language, are also illustrated and … three days following the game, and which contained one or more relevant keywords, were collected using the Twitter4j API …

Survey on Location based sentiment analysis of Twitter data
I Karthika, S Priyadharshini – 2017 – ijedr.org
… It also uses the concepts of Natural Language Processing(NLP) and Machine Learning(ML) algorithms along with above two methods … First step is to create Twitter application which is used to mine the twitter4j and analyze the data …

An ontology-based framework for extracting spatio-temporal influenza data using Twitter
UK Jayawardhana, PV Gorsevski – International Journal of Digital …, 2017 – Taylor & Francis
… The IE of tagged terms is supported by Natural Language Processing (NLP) techniques, DBpediaSpotlight and WordNet Similarity for Java (WS4J), while data analytics, visualization, and mapping are supported by GeoServer and other GIS Free Open Source Software (FOSS) …

A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content
T Maheshwari, AN Reganti, S Gupta… – Proceedings of the 15th …, 2017 – aclweb.org
… Undergraduate students of two In- dian institutes (NIT, Agartala, Tripura and IIIT, Sri City, Andhra Pradesh) were contacted for the data 5http://twitter4j.org/ 6http://www.statista.com/statistics/264810/ number-of- monthly-active-facebook-users-worldwide/ collection …

Seminar Users in the Arabic Twitter Sphere
K Darwish, D Alexandrov, P Nakov… – … Conference on Social …, 2017 – Springer
… We collected the tweets using the Twitter4j Java interface for the Twitter streaming API, where we searched using the query “lang:ar” to get Arabic tweets. Eventually, we accumulated 417 million tweets with an average of 7.4 million tweets per day over 56 days …

Public bus commuter assistance through the named entity recognition of twitter feeds and intelligent route finding
T Mahmood, G Mujtaba, L Shuib, NZ Ali, A Bawa… – IET Intelligent Transport …, 2017 – IET
… Sampling was conducted through Twitter4J API [22], which has a rate limit, that is, a Twitter account cannot be connected more often than 15 times in 15 minutes … The remaining 25% were for the testing corpus to provide more data for training natural language tweets …

Techniques of Opinion Mining: A Review
G Kaur, A Singh – 2017 – cms.forexjournal.co.in
… For this, first of all data from the twitter has been extracted using the twitter 4J API … Gautami Tripathi et al.[10] In this paper, both natural language processing and machine learning techniques are used to extract the sentiment from the movie reviews …

A Multi-Agent Based Social Crm Framework For Extracting And Analysing Opinions
A EL FAZZIKI, FZ ENNAJI, A SADIQ… – Journal of …, 2017 – jestec.taylors.edu.my
… media rather than personal recommendations [2], as the reviews express the subjective attitudes, evaluations, and speculations of people in natural language … Data is extracted using the targeted social media extraction API (eg, Twitter4J [28]), then used in the Social network …

Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
R Baly, G El-Khoury, R Moukalled, R Aoun… – Procedia Computer …, 2017 – Elsevier
… Recursive deep models for semantic composi- tionality over a sentiment treebank, in: Proceedings of the conference on empirical methods in natural language processing (EMNLP), Citeseer. p. 1642 … [52] Yamamoto, Y., 2014. Twitter4j-a java library for the twitter api …

Classification method comparison on Indonesian social media sentiment analysis
TN Fatyanosa, FA Bachtiar – … Information Engineering and …, 2017 – ieeexplore.ieee.org
… In this study, the twitter4j library is used to scrape the twitter data that related to the topic … Thumbs up?: sentiment classifi- cation using machine learning techniques,” in Proceedings of the ACL- 02 conference on Empirical methods in natural language processing- Volume 10 …

An extended spreading activation technique for hashtag recommendation in microblogging platforms
N Ben-Lhachemi, EH Nfaoui – … of the 7th International Conference on …, 2017 – dl.acm.org
… 4.2 Test 2 4.2.1 Data set description For the second test, we conducted a comparative study of our method using two datasets: the dataset used in the first test and a second, more recent dataset that we collected in May 2016 using the Twitter4J library [23] for Twitter API [24] …

On quantifying diffusion of health information on Twitter
G Bakal, R Kavuluru – … & Health Informatics (BHI), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… 2) Twitter4J (http://twitter4j.org) interface to Twitter API is used to collect tweets that are stored in a MySQL database … Twitter catches the flu: Detecting influenza epidemics using Twitter,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing, ser …

Survey on Sentiment Analysis: A Comparative Study
H Tanaya, S Sagnika, L Sahoo – pdfs.semanticscholar.org
… They are very important in the current scenario because, a large number of user opinionated texts are available on the web now. This is a difficult problem solve because natural language is highly unstructured in nature … They used a third API twitter 4j for data extraction …

Survey on Sentiment Analysis: A Comparative Study
HT Chidananda, S Sagnika… – International Journal of …, 2017 – search.proquest.com
… user opinionated texts are available on the web now. This is a. difficult problem solve because natural language is highly. unstructured in nature. [5, 16] … accurate, so they used SVM as text Classifier. They used a. third API twitter 4j for data extraction. Merits are 1. More …

A parallel semantic sentiment analysis
M Youness, E Mohammed… – … (CloudTech), 2017 3rd …, 2017 – ieeexplore.ieee.org
… For that, we made a parallel classification using HDFS and MapReduce of a dataset that contains tweets from differents topics collecting by Twitter4j API and Apache … Final Projects from CS224N for Spring 2008/2009 at The Stanford Natural Language Processing Group,2009 …

Text Mining in Twitter with Spark and Scala
S Adam – 2017 – repository.ihu.edu.gr
… that tries to solve the document overabundance problem by using Data Mining, Machine Learning, Natural Language Processing, Information Retrieval, and Knowledge Manage- ment techniques … 29 Picture 7: Twitter4j logo [55] …

Travel analytics: Understanding how destination choice and business clusters are connected based on social media data
A Huang, L Gallegos, K Lerman – Transportation Research Part C …, 2017 – Elsevier
… The messages were originally created on Foursquare.com and were further shared on Twitter. The Twitter4J API was used to download the geo-tagged tweets, and then the check-in messages were selected from downloaded tweets …

Sentiment Mining Approaches for Big Data Classification and Clustering
A Kumar, S Abirami, TE Trueman – Modern Technologies for Big …, 2017 – books.google.com
… OF SENTIMENT ANALYSIS ON BIG DATA Big data creates new challenges on data processing, datastorage, data representation, pattern mining, visualization, etc (Gema Bello-Orgaz et al., 2016) in the field of data mining, machine learning, natural language processing, text …

Using Twitter and the mobile cloud for delivering medical help in emergencies
HN Alshareef, D Grigoras – Concurrency and Computation …, 2017 – Wiley Online Library
… pay attention to the system requirements, as well as benefiting from previous solutions in dealing with session interruptions and connection issues, a previous Android app[6, 7] was extended to allow users to undertake a number of actions with the help of the twitter4j[30] library …

Experiences with the Twitter Health Surveillance (THS) System
M Rodríguez-Martinez – Big Data (BigData Congress), 2017 …, 2017 – ieeexplore.ieee.org
… Right now, out capture daemon uses the Twitter4J API to collect the tweets and … Here dependencies refer to third-party libraries (eg, Twitter 4J) that your application needs … twitter,” in Pro- ceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP …

A Panoptics Of Sentimental Analysis
KV Raju, M Sridhar, K Vijayalakshmi – International Journal, 2017 – ijarcs.info
… [3] mobile phones data from twitter used twitter 4J API and the dataset … “Recognizing stances in online debates.” Proceedings of the Joint Conference of the 47th annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP …

CARIES: A Comparative Relationship Visualiser
F Mäkilä – 2017 – diva-portal.org
Page 1. UPTEC IT 17 004 Examensarbete 30 hp Mars 2017 CARIES A Comparative Relationship Visualiser Fredrik Mäkilä Institutionen för informationsteknologi Department of Information Technology Page 2. Page 3. Teknisk …

A proposal for an integrated framewoek capable of aggregating IoT data with diverse data types.
MLL Faria – teses.usp.br
… AR Augmented Reality BER Bit Error Rate CoreNLP A set of natural language analysis tools DBMS Database Management System DBN Deep Belief Networks … Page 11. NLP Natural Language Processing NLTK Natural Language Toolkit OWL Web Ontology Language …

Real-Time Traffic Event Detection From Social Media
D Wang, A Al-Rubaie, SS Clarke, J Davies – ACM Transactions on …, 2017 – dl.acm.org
… Therefore, Twitter4J, which is developed by the Twitter4J community, is used to connect to the official Twitter REST APIs from within our system … After all geographic coordinates are set, we obtain tweets online by using Twitter4J without us- ing any keywords as filters …

A Panoptics Of Sentimental Analysis
VR Kallipalli, M Sridhar… – International Journal of …, 2017 – search.proquest.com
… [3] mobile phones data from twitter. used twitter 4J API and the. dataset is processed using. SVM. [4] … Proceedings of the 2009 Conference on Empirical. Methods in Natural Language Processing: Volume1-. Volume 1. Association for Computational Linguistics,. 2009 …

Identifying Purchase Intentions by Extracting Information from Tweets
MJA Oele – 2017 – theses.ubn.ru.nl
… There are already many studies that investigate how data models can process natural language in tweets and identify the sentiment of social posts, but combining all these techniques to detect purchase intentions in tweets is a relatively unexplored field …

Informative vs. Non-informative Short Message Detection in Social Networks
K Giannakopoulos – Big Data Computing and Communications …, 2017 – ieeexplore.ieee.org
… Also, they refer to different topics and trends. There are no any common messages, users, hashtags, and events or trends between the two datasets. We parse tweets by using the Twitter4j 2 Java library for Twitter API … 2http://twitter4j.org 3http://snowball.tartarus.org 166 Page 3 …

Incremental clustering with vector expansion for online event detection in microblogs
O Ozdikis, P Karagoz, H O?uztüzün – Social Network Analysis and Mining, 2017 – Springer
… Specifically, in our implementation, to detect events occurring in Turkey, we define a geographical filter based on the boundary coordinates of the country in terms of latitude and longitude, and use the Java library of Twitter4j 2 for service connection and tweet collection tasks …

Fuzzy classification-based emotional context recognition from online social networks messages
IB Sassi, SB Yahia, S Mellouli – Fuzzy Systems (FUZZ-IEEE) …, 2017 – ieeexplore.ieee.org
… As a result, micro-blogs text mining systems need to pass through a pretreatment step to make status texts able to be processed by natural language systems … Feature vector is the most crucial concept when implementing a classification approach. 2 http://twitter4j.org/ Page 3 …

Piecing together the puzzle: Improving event content coverage for real-time sub-event detection using adaptive microblog crawling
L Tokarchuk, X Wang, S Poslad – PloS one, 2017 – journals.plos.org
… For sub-event detection, some researchers apply supervised learning techniques used in Natural Language Processing, such as Conditional Random Field and … in this paper is written in Java and uses the open third-party application-programming interface Twitter4J to connect …

UiRef: analysis of sensitive user inputs in Android applications
B Andow, A Acharya, D Li, W Enck, K Singh… – Proceedings of the 10th …, 2017 – dl.acm.org
… For example, a user’s home address and credit-card number are retrieved by the same getText() API call if entered into EditText widgets. Instead, the semantics of a user input is denoted by natural-language text in the GUI, which prompt the user to enter speci c types of data …

Profile Matching Across Unstructured Online Social Networks: Threats and Countermeasures
A Halimi, E Ayday – arXiv preprint arXiv:1711.01815, 2017 – arxiv.org
Page 1. Profile Matching Across Unstructured Online Social Networks: Threats and Countermeasures? Anisa Halimi Bilkent University anisa.halimi@bilkent.edu.tr Erman Ayday Bilkent University erman@cs.bilkent.edu.tr ABSTRACT …

The role of online reputation management, trolling, and personality traits in the crafting of the virtual self and social media
S Yang, A Quan-Haase, A Nevin… – The SAGE handbook of …, 2017 – books.google.com
Page 134. 6 The Role of Online Reputation Management, Trolling, and Personality Traits in the Crafting of the Virtual Self on Social Media Shuzhe Yang, Anabel QuanHaase, Andrew D. Nevin and Yimin Chen This chapter investigates …

Apache Spark Based Big Data Analytics For Social Network Cybercrime Forensics
SM KIIO – Computing, 2017 – erepository.uonbi.ac.ke
… IoT – Internet of Things JSON – Javascript Object Notation KDD – Knowledge Discovery in Databases ML – Machine learning NLP – Natural Language Processing NLTK – Natural Language Tool Kit POS – Part of Speech RDD – Resilient Distributed Dataset …

Sentiment Analysis of Tweets to Gain Insights into the 2016 US Election.
T Hamling, A Agrawal – Columbia …, 2017 – cusj.journals.cdrs.columbia.edu
… 1- 135. 2008. [14] A. Go, L. Huang, and R. Bhayani,“Twitter Sentiment Classification using Distant Supervision.” The Stanford Natural Language Processing Group, 2009, https://www- cs. stanford … isidewith. com/polls [17]“Introduction” Twitter 4J. http://twitter4j. org/en/index …

Automatic extraction of design decisions from issue management systems: a machine learning based approach
M Bhat, K Shumaiev, A Biesdorf, U Hohenstein… – … Conference on Software …, 2017 – Springer
… For instance, a software architect can create a new task (which might implicitly represent a design decision) such as “Remove dependency on Twitter4J repository 2 ” and assign it to a … Manning, CD, Schütze, H., et al.: Foundations of Statistical Natural Language Processing, vol …

Automatic Extraction of Design Decisions from Issue Management Systems: A Machine Learning Based Approach
F Matthes – … Architecture: 11th European Conference, ECSA 2017 …, 2017 – books.google.com
… architect can create a new task (which might implicitly represent a design decision) such as “Remove dependency on Twitter4J repository2” and … doi: 10.1007/978-3-642-39031-920 Manning, CD, Schütze, H., et al.: Foundations of Statistical Natural Language Processing, vol …

An Evaluation Method for Content Analysis Based on Twitter Content Influence
E Lee, YG Kim, YD Seo, K Seol… – International Journal of …, 2017 – World Scientific
… They found that natural language processing tools are suitable for analyzing Twitter content. Phelan et al … We crawled content and relation data using Twitter4J API [24], and part of the data is provided by the Daumsoft Company …

Measurement theory-based trust management framework for online social communities
Y Ruan, P Zhang, L Alfantoukh, A Durresi – ACM Transactions on …, 2017 – dl.acm.org
Page 1. 16 Measurement Theory-Based Trust Management Framework for Online Social Communities YEFENG RUAN, PING ZHANG, LINA ALFANTOUKH, and ARJAN DURRESI, Department of Computer and Information Science …

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