Mining Tweets for Education Reforms
Omar, Mwana S., Njeru, Alexander M., Paracha, Samiullah, Wannous, Muhammad and Yi, Sun, "Mining Tweets for Education Reforms" 2017 IEEE International Conference on Applied System Innovation, Sapporo, 2017/05/13-17.
Document type:
Conference Publication
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Sub-type Conference paper Author Omar, Mwana S.
Njeru, Alexander M.
Paracha, Samiullah
Wannous, Muhammad
Yi, SunTitle Mining Tweets for Education Reforms Event Series IEEE International Conference on Applied System Innovation Publication Date 2017-05-17 Place of Publication Taipei Publisher Taiwanese Institute of Knowledge Innovation (TIKI) Pages 416-419 Title of Event 2017 IEEE International Conference on Applied System Innovation Date of Event 2017/05/13-17 Place of Event Sapporo Language eng Abstract Microblogging and social networking sites have become a popular means of communication channels among internet users. They provide tools for people to voice their opinions. These sites contain vast amounts of opinionated data, leading to an increased growth in research on sentiment analysis and opinion mining. The study aims at using Twitter, a major and popular platform for microblogging and social communication, to conduct sentiment analysis. Real time data was automatically streamed using the Twitter API to collect the public's sentiments regarding education. A survey was also used to capture the public's opinions. The study will help overcome frustrations during implementation of education policies and reforms by taking into account the public's views and opinions. UNBIS Thesaurus SOCIAL MEDIA Keyword Machine learning
Sentiment analysis
Education reformsCopyright Holder The Editors Copyright Year 2017 Copyright type All rights reserved ISBN 9781509048977 DOI 10.1109/ICASI.2017.7988441 -
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