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- W3103886263 abstract "Sentiment analysis, also referred to as opinion mining or emotion extraction is the classification of emotions within a textual data. This technique has been widely used over the years in order to determine the sentiments, emotions within a particular textual data. Twitter is a social media platform that has been mostly used by people to express emotions for particular events. In this paper, we have collected tweets for a number of events, analyzed them using a number of Machine Learning algorithms like Naïve Bayes, SVM, Random Forest classifier and LSTM and compared the results." @default.
- W3103886263 created "2020-11-23" @default.
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- W3103886263 date "2020-08-21" @default.
- W3103886263 modified "2023-10-16" @default.
- W3103886263 title "Twitter Sentiment Analysis Using Machine Learning Algorithms: A Case Study" @default.
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- W3103886263 doi "https://doi.org/10.1109/icaccm50413.2020.9213011" @default.
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