关键词: 短文本相似度, 关键词权重, 层次聚类, 二叉树, 主干成分

Abstract: In order to improve the accuracy of Chinese short text similarity computation, it proposes a new similarity computation method for Chinese short text based on hybrid strategy. Firstly, according to the semantic distance of words, by using of hierarchical clustering, it constructs the short text clustering binary tree, and the traditional Vector Space Model（VSM） is improved, the keyword weight text similarity is computed. Then, this paper improves traditional syntax semantic model and computes the semantic similarity of the short text by extracting principal component of sentences. Finally, the two similarities are weighted to calculate the final text similarity. The experimental results show that the proposed method gets better performance in effectiveness and is closer to people’s judgment.

Key words: short text similarity, keyword weight, hierarchical clustering, binary tree, main components