Wikipedia Based Short Text Classification Method
Refereed conference paper presented and published in conference proceedings


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AbstractShort text is usually expressed in refined slightly, insufficient information, which makes text classification difficult. But we can try to introduce some information from the existing knowledge base to strengthen the performance of short text classification. Wikipedia [2, 13, 15] is now the largest human-edited knowledge base of high quality. It would benefit to short text classification if we can make full use of Wikipedia information in short text classification. This paper presents a new concept based [22] on Wikipedia short text representation method, by identifying the concept of Wikipedia mentioned in short text, and then expand the concept of wiki correlation and short text messages to the feature vector representation.
Acceptance Date22/03/2017
All Author(s) ListJunze Li, Yi Cai, Zhiwei Cai, Hofung Leung, Kai Yang
Name of Conference22nd International Conference on Database Systems for Advanced Applications (DASFAA)
Start Date of Conference27/03/2017
End Date of Conference30/03/2017
Place of ConferenceSuzhou
Country/Region of ConferenceChina
Proceedings TitleLecture Notes in Computer Science
Year2017
Volume Number10179
PublisherSpringer International Publishing
Pages275 - 286
ISBN978-3-319-55704-5
ISSN0302-9743
eISSN1611-3349
LanguagesEnglish-United States
KeywordsShort text classification, Concept, Wikipedia

Last updated on 2020-10-08 at 02:24