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Twitter opinion about leaders

Mutual respect between leaders and followers is a key prerequisite to success. The opinion of followers in challenging this leadership is just as great as it has been portrayed by the uprisings in North Africa and the Middle East tagged as the “Twitter or Social media revolution”. The sudden eruptio...

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Main Author: Osanga, Ibrahim Salamatu
Format: Thesis
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/50680/25/IbrahimSalamatuOsangaMFC2014.pdf
http://eprints.utm.my/id/eprint/50680/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85548
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spelling my.utm.506802020-07-08T03:55:25Z http://eprints.utm.my/id/eprint/50680/ Twitter opinion about leaders Osanga, Ibrahim Salamatu QA75 Electronic computers. Computer science Mutual respect between leaders and followers is a key prerequisite to success. The opinion of followers in challenging this leadership is just as great as it has been portrayed by the uprisings in North Africa and the Middle East tagged as the “Twitter or Social media revolution”. The sudden eruption of activities in the area of opinion mining, which deals with the computational analysis of opinion, sentiment, and subjectivity in text, has thus occurred as a means of responding directly to the surge of interest that deals with opinions and use of information technologies to seek out and understand the opinions of others. This study focused on identifying a set of suitable features and an appropriate classifier that can be used for detecting and classification of opinions about leaders in tweets. Words, unigram, bigram and negation features were used alongside Naïve Bayes (NB) and Support Vector Machine (SVM) learning algorithms. The results show that using NB with unigrams can indicate opinions about leaders of up to 91.41% accuracy and can therefore be used to suggest ways to improve a leader’s reputation as well as predicting potential candidates in political election. 2014-11 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50680/25/IbrahimSalamatuOsangaMFC2014.pdf Osanga, Ibrahim Salamatu (2014) Twitter opinion about leaders. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85548
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Osanga, Ibrahim Salamatu
Twitter opinion about leaders
description Mutual respect between leaders and followers is a key prerequisite to success. The opinion of followers in challenging this leadership is just as great as it has been portrayed by the uprisings in North Africa and the Middle East tagged as the “Twitter or Social media revolution”. The sudden eruption of activities in the area of opinion mining, which deals with the computational analysis of opinion, sentiment, and subjectivity in text, has thus occurred as a means of responding directly to the surge of interest that deals with opinions and use of information technologies to seek out and understand the opinions of others. This study focused on identifying a set of suitable features and an appropriate classifier that can be used for detecting and classification of opinions about leaders in tweets. Words, unigram, bigram and negation features were used alongside Naïve Bayes (NB) and Support Vector Machine (SVM) learning algorithms. The results show that using NB with unigrams can indicate opinions about leaders of up to 91.41% accuracy and can therefore be used to suggest ways to improve a leader’s reputation as well as predicting potential candidates in political election.
format Thesis
author Osanga, Ibrahim Salamatu
author_facet Osanga, Ibrahim Salamatu
author_sort Osanga, Ibrahim Salamatu
title Twitter opinion about leaders
title_short Twitter opinion about leaders
title_full Twitter opinion about leaders
title_fullStr Twitter opinion about leaders
title_full_unstemmed Twitter opinion about leaders
title_sort twitter opinion about leaders
publishDate 2014
url http://eprints.utm.my/id/eprint/50680/25/IbrahimSalamatuOsangaMFC2014.pdf
http://eprints.utm.my/id/eprint/50680/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85548
_version_ 1674066139285553152
score 13.211869

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