Purpose-Feature Relationship Mining from Online Reviews towards Purpose-Oriented Recommendation
نویسندگان
چکیده
منابع مشابه
Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendation
To help in decision making, buyers in online shopping tend to go through each product features, functionalities, etc. provided by vendors and reviews made by other users, which is not an effective way when confronting loaded of information and especially if the buyers are beginner users who have limited experience and knowledge. To deal with these problems, we propose a framework of purpose-ori...
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This paper describes the part of a recommendation system designed for the recognition of film reviews (RRSS). Such a system allows the automatic collection, evaluation and rating of reviews and opinions of the movies. First the system searches and retrieves texts supposed to be movie reviews from the Internet. Subsequently the system carries out an evaluation and rating of the movie reviews. Fi...
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Fine grained opinion mining is an important task in today’s E-business world. Customers and manufacturers wanted to know about products in details. So in this paper we have studied opinion targets and opinion word extraction through dependency parsing and by applying syntactic patterns. Previously developed double propagation approach is useful for extraction task with addition of some syntacti...
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Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2018
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2017dap0013