Autocorrection of Noise Text Based on Modularity Optimization

Abstract

This paper brings forward an autocorrection algorithm for noise texts based on modularity optimization. By noise texts we mean those documents in text corpus being distributed to a wrong category. Firstly, the document- similarity network is constructed, in which each node represents a document. If two nodes are similar in content, they are connected with a… (More)

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