Opinions from tweets as good indicators of leadership and followership status

Scores of public opinion about two popular world leaders collected from tweets based on the sentiment they exhibited were classified using two Machine learning techniques (Naïve Bayes and Support vector machines), and four features (Words, unigrams, bigrams and negation) for the classification, we f...

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Bibliographic Details
Main Authors: Osanga, I. S., Salim N., N.
Format: Article
Published: Asian Research Publishing Network 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/58694/
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