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.

Liqiang Pan, Pu Zhang and Anping Xiong, “Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space” International Journal of Advanced Computer Science and Applications(IJACSA), 6(2), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060242

@article{Pan2015,
title = {Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060242},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060242},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {2},
author = {Liqiang Pan and Pu Zhang and Anping Xiong}
}