Internet users write blogs related to their personal experience, daily news, and so on. Though we can obtain blogs about personal experience using search engines on the Web, the search engines also output blogs about other topics unrelated to personal experiences. Therefore, we need to take too much time to read all blogs for obtaining those about personal experiences. This paper proposes a support system for obtaining blogs about personal experience 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 related to the extracted keywords. The pictures help users to judge whether personal experiences are written in the blog or not. We experimented with the system, and verified that it supports users to obtain personal experiences efficiently. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Nishihara, Y., Sato, K., & Sunayama, W. (2009). Event extraction and visualization for obtaining personal experiences from blogs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5618 LNCS, pp. 315–324). https://doi.org/10.1007/978-3-642-02559-4_35
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