教師資料查詢 | 類別: 期刊論文 | 教師: 張嘉玲CHIA-LING CHANG (瀏覽個人網頁)

標題:A template approach for summarizing restaurant review
學年110
學期1
出版(發表)日期2021/08/09
作品名稱A template approach for summarizing restaurant review
作品名稱(其他語言)
著者Yenliang Chen; Chialing Chang; Jeryeu Gan
單位
出版者
著錄名稱、卷期、頁數IEEE Access 9, p.115548 - 115562
摘要In the era of rapid development of social networks, user reviews of restaurant review websites have grown rapidly. In order to allow users to quickly grasp the key points of review information on review sites, this paper provides an abstractive multi-text summary method that can automatically generate template-based review summaries based on predefined topics and sentiments. In particular, for each predefined topic and each type of sentiment (positive or negative), this study uses the TextRank algorithm to find the most representative sentences to form a summary. This method allows users to quickly grasp the positive and negative opinions of each important aspect of the restaurant. The previous research on generating abstracts from reviews either did not generate abstracts based on topics, or they were based on topics generated by random models. However, the latter method cannot guarantee that the topics generated by the random model are really the topics that the user needs. For a restaurant review, some topics are indispensable. In order to ensure that abstracts can be generated for these essential topics, our method predefines the topics that must be generated, and then generates abstracts for these topics. In the evaluation, this study compared the template method with the Refresh and Gensim systems based on criteria such as informativeness, clarity, usefulness and likes. The results show that the method proposed in this paper is superior to the other two summary methods.
關鍵字Restaurant reviews;sentiment analysis;summarization;template;TextRank
語言英文
ISSN2169-3536
期刊性質國外
收錄於SSCI;
產學合作
通訊作者Chia-Ling Chang
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!