Automatic Content Analysis Using Text Mining to Investigate How News Events Trigger the Response of Society

• Main Authors: Tai, Yu Ting, 戴瑜廷
• Other Authors: Lin, Fu Ren
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/93305904970022325343

碩士 === 國立清華大學 === 服務科學研究所 === 103 === In recent years, the crisis of food safety events continued happened in interval. There are three main food safety events, in sequence, “Plasticizer”, “Poison starch” and “Fake oil”. However, the related news reports are too enormous to be digested efficiently by the readers. In addition, it’s interested to know if similar events happen again, would they learn something from the past experiences and responds in a different way. This study aimed to propose a system that can automatic analyze the related news belonging to the same topic. First, this study presents the opinions of each stakeholder on each period of the news development by clustering. Second, this system extracts the important content of news reports using summarization and provides the summarization of each news event to readers. Finally, this study combines the system with Focused Conversation Method (ORID) to evaluate the effective of the system and to explore the response of readers to the news events. With the facility of the system that we proposed, the readers can understand the development of news event efficiently and recall their feeling, thought, and reaction for the news events at the moment that the event happened.