Short Text Clustering Algorithm with Feature Keyword Expansion
2012 ◽
Vol 532-533
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pp. 1716-1720
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To solve the problem of sparse keywords and similarity drift in short text segments, this paper proposes short text clustering algorithm with feature keyword expansion (STCAFKE). The method can realize short text clustering by expanding feature keyword based on HowNet and combining K-means algorithm and density algorithm. It may add the number of text keyword with feature keyword expansion and increase text semantic features to realize short text clustering. Experimental results show that this algorithm has increased the short text clustering quality on precision and recall.
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2014 ◽
Vol 971-973
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pp. 1747-1751
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