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

替代計量分析
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其它資訊
摘要Short 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.
出版社接受日期22.03.2017
著者Junze Li, Yi Cai, Zhiwei Cai, Hofung Leung, Kai Yang
會議名稱22nd International Conference on Database Systems for Advanced Applications (DASFAA)
會議開始日27.03.2017
會議完結日30.03.2017
會議地點Suzhou
會議國家/地區中國
會議論文集題名Lecture Notes in Computer Science
出版年份2017
卷號10179
出版社Springer International Publishing
頁次275 - 286
國際標準書號978-3-319-55704-5
國際標準期刊號0302-9743
電子國際標準期刊號1611-3349
語言美式英語
關鍵詞Short text classification, Concept, Wikipedia

上次更新時間 2020-12-09 於 03:06