Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 2
Abstract
In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can represent the semantic information of short text message thoroughly so as to improve the accuracy of similarity calculation. We selected a large number of problem test sets for experiments. The results show that the method we proposed is reasonable and effective.
Authors and Affiliations
Liqiang Pan, Pu Zhang, Anping Xiong
Keywords
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- EP ID EP142668
- DOI 10.14569/IJACSA.2015.060242
- Views 99
- Downloads 0
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