Emotion and polarity prediction from Twitter

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Emotion and polarity prediction from Twitter

Classification of public information from microblogging and social networking services could yield interesting outcomes and insights into the social and public opinions towards different services, products, and events. Microblogging and social networking data are one of the most helpful and proper i...

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Bibliographic Details
Main Authors:	Hamad, Rebeen Ali, Alqahtani, Saeed M., Torres Torres, Mercedes
Format:	Conference or Workshop Item
Published:	2017
Subjects:	Data Mining Sentiment Analysis Sentiment Classification Emotion Polarity Machine Learning Twitter Data
Online Access:	https://eprints.nottingham.ac.uk/41167/

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