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- W2401984328 abstract "Microblogging platforms like Twitter can convey short messages to direct contacts, but also to other potentially interested users. They are actively exploited either by individual users or whole organizations and companies. This paper describes some results we obtained from the Social Network and Sentiment Analysis of a Twitter channel, related to a pop music event. Apart from the particular results, a methodology and some guidelines for the automatic classification of Twitter content are" @default.
- W2401984328 created "2016-06-24" @default.
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- W2401984328 date "2015-01-01" @default.
- W2401984328 modified "2023-09-23" @default.
- W2401984328 title "A Case-Study for Sentiment Analysis on Twitter." @default.
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