Opinion Mining Analysis Social Networking Sites Comments

• Main Authors: LI,PIN-YI, 李品俋
• Other Authors: CHENG,LI-CHEN
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/08867868201804869188

碩士 === 東吳大學 === 資訊管理學系 === 105 === Since the Social Networking Sites(SNS) become popular, many companies publish product information on web Sites. The consumers always read other users’ reviews and product rating as a reference before they decide to purchase products. Previous studies mostly used Twitter as an experimental data source. This study will collect user reviews and behaviors from Facebook IMDb fan page. Social media language is relatively short and contain special words including emotion, emphasis and social media slang. After dealing with these special terms, we want to establish a semantic dataset for the film community and build the foundation for further research.