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Feature selection for text classification based on part of speech filter and synonym merge | IEEE Conference Publication | IEEE Xplore

Feature selection for text classification based on part of speech filter and synonym merge


Abstract:

In recent years, text categorization based on machine learning is a widely used technology in the field of natural language processing and text mining and has gained many...Show More

Abstract:

In recent years, text categorization based on machine learning is a widely used technology in the field of natural language processing and text mining and has gained many advances. Feature selection is one of the key problems in text categorization. The chief obstacles to feature selection are noise and sparseness. In this paper, we propose an approach of Chinese text feature selection based on CV (contribution value), POS (part of speech) filter and synonym merge. We carry out experiments over corpus-TanCorpV1.0 and find that the proposed method performs better than traditional ones.
Date of Conference: 15-17 August 2015
Date Added to IEEE Xplore: 14 January 2016
ISBN Information:
Conference Location: Zhangjiajie, China

References

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