2019 · 52 citations · 15 references
ComputingComputer ScienceInformation TechnologyNatural Language ProcessingRecommender SystemsText AnalyticsAffective ComputingInformation ExtractionOpinion MiningSentiment AnalysisSocial MediaText MiningEmotion DetectionPolarity DetectionSentiment ClassificationSocial Media SentimentTextual Sentiment AnalysisTweet Sentiment Analysis
Twitter is a popular microblogging platform where users exchange short, simple thoughts daily, and sentiment analysis of such text data is a key area of NLP and text mining. The study aims to extract tweets and compare various sentiment analysis techniques applied to Twitter data. The authors extract tweets from Twitter and evaluate multiple sentiment analysis methods, comparing their performance on the dataset.
Twitter is the popular micro blogging site where thousands of people exchange their thoughts daily in the form of tweets. The characteristics of tweet is to be short and simple way of expressions. Though this paper will focus on sentiment analysis of twitter data. The research area of sentiment analysis are text data mining and NLP. In different form we can perform the sentiment analysis on twitter data. This research paper will focus on techniques of sentiment analysis where we will perform how to extract tweets from twitter. Eventually we will compare different sentiment analysis techniques and also the approaches containing twitter dataset.
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