Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
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Internet users write blogs related to their personal experience, daily news, and so on. We can obtain blogs about personal experience using search engines on the Web. However, the search engines also output blogs about other topics unrelated to personal experience. Therefore, it is necessary for us to read all blogs to obtain those about personal experiences. It takes too much time. This paper proposes a support system for obtaining blogs about personal experiences efficiently. The system extracts three keywords that denote place, object, and action from a blog. The three keywords describe an event that leads a person to write a blog about personal experience. The system expresses the event with three pictures depicting the extracted keywords. The pictures help users to judge whether personal experience is written about in the blog. We experimented with the system, and verified that it supports users in obtaining personal experiences efficiently.