Aritra Ray's Projects
A complete computer science study plan to become a software engineer.
css files for designing attractive webpages
Base template
A repository for Hacktober Fest contributions. Everyone is welcome. Fork away!
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This contains whatever you need to study about Algos...
In todayβs era, the impact of social networking media such as Facebook, Google Plus, YouTube, Blogs, and Twitter is increasing rapidly day by day. Millions of people are connected with each other on social networking sites and express their sentiments and opinions through tweets, and comments. This motivates the automatic mining and classification of views, emotions, opinions, and feelings of people on social networking websites. Sentiment analysis is the method of automatic mining of the sentiments or opinions of a text unit. In todayβs world, people express their feelings, opinions on twitter about certain things i.e. event, topic or person. The proposed work deals with mining sentiments or emotions of tweets using Support Vector Machine. Unigram and TF-IDF are used as feature extractors and the performance of the proposed approach is measured in terms of accuracy, precision, recall, and f-measure.