教師資料查詢 | 類別: 期刊論文 | 教師: 武士戎 WU, SHIH-JUNG (瀏覽個人網頁)

標題:Using syntactic rules to combine opinion elements in Chinese opinion mining systems
學年103
學期2
出版(發表)日期2015/03/31
作品名稱Using syntactic rules to combine opinion elements in Chinese opinion mining systems
作品名稱(其他語言)
著者Wu, Shih-Jung; Chiang, Rui-Dong
單位淡江大學資訊創新與科技學系
出版者Gyeongju-si: Advanced Institute of Convergence Information Technology
著錄名稱、卷期、頁數Journal of Convergence Information Technology 10(2), pp.137-144
摘要Most Chinese opinion mining systems use the specific pattern and nearby approach to combine relevant opinion elements (feature words and opinion words) to express the opinion tendencies of authors. In this paper, we propose a rule-based ad hoc method to study the combination problem of Chinese opinion elements. We extracted the opinion elements of articles based on lexicons and then combined them with the different sentence patterns and grammars to analyze the authors’ opinions. Because the articles on the online communities such as blogs, wikis, online forums, etc. do not have a defined format, there are often opinion comments that do not refer to the topic, resulting in information loss and significantly reduced recall. Therefore, the “default topic” method is proposed to correct this type of problem. Additionally, there might be errors when using the nearby approach to combine opinion elements. Thus, we propose the concept of “clause priority” to increase precision. After 20 months of long-term tracking and analysis, the experimental result indicates that the method proposed in this paper had good precision, recall, and F1 of opinion tendency analysis for review articles.
關鍵字Opinion mining; Sentiment analysis; Sentences pattern
語言英文(美國)
ISSN2233-9299
期刊性質國外
收錄於
產學合作
通訊作者Wu, Shih-Jung
審稿制度
國別韓國
公開徵稿
出版型式電子版;紙本
相關連結
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