Categorization mechanism of positive and negative opinion of articles of the Blog

• Main Authors: Hsin-Chia Su, 蘇信嘉
• Other Authors: Jun-Lin Lin
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/54439242951577904681

碩士 === 元智大學 === 資訊管理學系 === 96 === The Broadcasting Development Fund found that for the 2006 Taipei and Kaohsiung mayor elections, the results of the media polls were significantly different from the actual election results. The political position of the organization conducting the polls may have affected the results, polls are now one of the tools most used by the media, but its reliability is now questioned. However, in this era of advanced Internet, the number of different blog articles is quickly increasing, and writers are actively expressing their views. If these articles can be collected and classified, it can also automatically have the effect of an opinion poll, and can be used as a third-party poll reference. Through the support of modern information technology, it can allow effective document classification. This study will use the classification technology of data mining technology to establish an appropriate classification device. This device will be used to classify blog articles, and the results can serve as another opinion poll reference. This study uses Wretch Blogs as the information source; using manual labor to evaluate and categorize the article information. The keywords will then be analyzed from the collected article information, and a classifier will be established through classification Bayesian network technology. Through the results of this study, we expect to achieve more rapid and more accurate poll references.