Abstract
AbstractWe first analyzes the deviation when current similarity calculation methods for texts are applied to short texts, and proposes a similarity calculation method for short texts based on language network and word semantic information. Firstly, models the short texts as language network according to the complex-network characteristic of human being’s language. Then analyzes the comprehensive eigenvalue of the words in the language network and the word similarity between different texts to obtain the word semantic. Calculate the similarity between short texts combining language network and word semantic. Finally the effectiveness of proposed algorithm is verified through clustering algorithm experiments.Keywordslanguage networktext clusteringshort texts similarityword similarity
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