Trend Query Classification using Label Propagation
نویسندگان
چکیده
منابع مشابه
Multi Label Text Classification through Label Propagation
Classifying text data has been an active area of research for a long time. Text document is multifaceted object and often inherently ambiguous by nature. Multi-label learning deals with such ambiguous object. Classification of such ambiguous text objects often makes task of classifier difficult while assigning relevant classes to input document. Traditional single label and multi class text cla...
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Classifying text data has been an active area of research for a long time. Text document is multifaceted object and often inherently ambiguous by nature. Multi-label learning deals with such ambiguous object. Classification of such ambiguous text objects often makes task of classifier difficult while assigning relevant classes to input document. Traditional single label and multi class text cla...
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Assigning several labels to digital data is becoming easier because we can perform it in a collaborative manner with Internet users. However, some suitable labels may be missed and may not be attached to the data leading to inaccuracies in classification. In this paper, we propose a novel graphbased multi-label classifier to support the multi-labeling task. The core process of our algorithm is ...
متن کاملQuery classification using Wikipedia
Identifying the intended topic that underlies a user’s query can benefit a large range of applications, from search engines to question-answering systems. However, query classification remains a difficult challenge due to the variety of queries a user can ask, the wide range of topics users can ask about, and the limited amount of information that can be mined from the query. In this paper, we ...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2015
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.30.161