Opinions from tweets as good indicators of leadership and followership status

• Main Authors: Osanga, I. S., Salim N., N.
• Format: Article
• Published: Asian Research Publishing Network 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/58694/
• Institution: Universiti Teknologi Malaysia

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...