Sentiment analysis of Twitter data

Authors
Yuan, Bo
ORCID
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Other Contributors
Szymanśki, Bolesław
Adali, Sibel
Magdon-Ismail, Malik
Issue Date
2016-05
Keywords
Computer science
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Sentiment Analysis and Opinion Mining has become a research hot-spot with the rapid development of social network websites.Twitter is a typical social network application with millions of users expressing their sentiment every day. In this work, we explored comprehensively the methodologies applied in sentiment classification over Twitter data: lexicon-based, rule-based and machine learning-based methods. Our data-set is crawled and manually cleaned with the principle of Naturally Annotated Big Data. The data-set contains 20,000 tweets ranging over ten popular topics.
Description
May 2016
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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