ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management
ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management
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DOI：
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发表时间：
2010
影响因子：
4.2
通讯作者：
Minoru Yoshida;Shin Matsushima;Shingo Ono;Issei Sato;Hiroshi Nakagawa
中科院分区：
文献类型：
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作者：
Minoru Yoshida;Shin Matsushima;Shingo Ono;Issei Sato;Hiroshi Nakagawa
本文介绍了我们的系统，称为ITC-UT，任务2（在线信誉管理任务）在WePS-3。我们的想法是根据查询检索到的tweet包含多少引用目标实体的“真实”实体名称，将每个查询分为3或4类，然后根据为每个查询类定义的规则对每个tweet进行分类。我们显示我们的系统的评估结果沿着的查询分类结果的细节。
This paper describes our system, called ITC-UT, for the task-2 (on-line reputation management task) in WePS-3. Our idea is to categorize each query into 3 or 4 classes according to how much the tweets retrieved by the query contain the “true” entity names that refer to the target entity, and then categorize each tweet by the rules defined for each class of queries. We show the evaluation results for our system along with the details of results of query categorization.