14 articles for “Tweets Classification”

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Research ArticleOpen accessIn the abstractPredicting Tamil Movies Sentimental Reviews Using Tamil TweetsVallikannu Ramanathan, T. Meyyappan, S.M. ThamaraiRecently people are more frequently using their mother tongue to express their opinion and view in the social media. Especially Indian languages are often used in social media messages. Tamil is one of the oldest language which has been used slightly higher percentage in micro blogs. Sentiment analysis has gained incredible development in recent times mostly for English language. However … …Journal of Computer Science, Vol. 15, Issue 11 · 16 Nov 2019 · 7,813 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,339 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSentiment Analysis of Arabic Tweets in e-LearningHamed AL-Rubaiee, Renxi Qiu, Khalid Alomar, Dayou LiIn this study, we present the design and implementation of Arabic text classification in regard to university students' opinions through different algorithms such as Support Vector Machine (SVM) and Naive Bayes (NB). The aim of the study is to develop a framework to analyse Twitter "tweets" as having negative, positive or neutral sentiments in education or, in other words, to … …Journal of Computer Science, Vol. 12, Issue 11 · 4 Feb 2017 · 9,070 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDF Cite