Abstract
Abstract: Sentiment Analysis or opinion mining is the computational examination of sentiments, perspectives and emotions conveyed in written language. In recent years, sentiment analysis has become an active study in fields of natural language processing and text mining. The internet is full of textual data in the form of papers, articles and blogs. Sentiment analysis is the best way to extract key information from this data. In this paper we compare classification of tweets using rule based methods, Machine Learning method and Deep Learning method. Keywords: Sentiment Analysis, Opinion Mining, Twitter Dataset, Classification, Natural Language Processing.
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