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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| Main Authors: | , |
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| Format: | Article |
| Published: |
Asian Research Publishing Network
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58694/ |
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