Sentiment analysis of Twitter data
Loading...
Authors
Yuan, Bo
Issue Date
2016-05
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
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
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY