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Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation
2020
Complexity
Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extracted and normalized. This research uses domain-specific seed list to classify tweets. Semantic and syntactic analysis on tweets is performed to
doi:10.1155/2020/8892552
fatcat:yc3kbq7vsbfadn5z6q2twtoxz4