Anomaly detection through enhanced sentiment analysis on social media data

• Main Author: Zhao, Jingying
• Other Authors: Li Fang
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: http://hdl.handle.net/10356/70158
• Institution: Nanyang Technological University

With the rising popularity of the use of social media, it is imperative for private companies and public organizations to analyze and understand the information posted by their users. One way of finding their attitude toward specific products or events is to use sentiment analysis. However, there ar...