News Attraction and Polarity Analysis Using Facebook Information

• Main Authors: Yang, Deng-Yao, 楊登堯
• Other Authors: Hou, Wen-Juan
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/b4smbt

碩士 === 國立臺灣師範大學 === 資訊工程學系 === 105 === In the past, the way of people obtaining information is only from the conversation, books, newspapers and other media information collection, which is slow and limited in number. However, due to the development of network technologies, in the present, the vast amount of information can be retrieved conveniently from internet. Some community web sites (such as facebook , twitter)make many people start with these network platforms for the rapid dissemination of news or for exchange of knowledge on life. Traditional newspapers, magazines and other traditional media also begin to publish their reports on the network platform. In an era of information explosion, how people can get information that they want or like from these extensive reports and how news can attract readers are worthy of investigation. Furthermore, the preference tendency of negative news or positive news is also very important. The study will first take advantage of the sentiment analysis technology to analyze network news by extracting the frequently-used words or phrases in order to increase people’s interest in reading. Second, to further understand the trend of news polarity, that is, whether positive news is more popular than negative news or not. The study segments words, finds keywords using TF-IDF values, and then matches keywords with a sematic dictionary in order to get the polarity informations. Finally, use the number of ’like’ provided by Facebook as corroboration, the trend of news polarity that people like is shown. The study shows that readers more concerned about the negative news. Comparing to the psychological research of Trussler and Soroka in Macgill University in Canada, the result is consistent. It thereby furthermore support the confidence of this study.