Abstract
Similarity measurement plays the fundamental role in the classification of information resources and transmission of network information. According to the research of text-based similarity algorithm on three-layer structure, add the word difference factors to the measurement method of the original text similarity factor, thereby reducing the similarity measurement error resulted by semantics and words difference. The results demonstrate that compare with the improved algorithm and the similarity measurement method base on the original three-layer structure, the measurement accuracy can be improved.
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Niu, Y., Chen, Y. (2011). Research on the Text Length’s Effect of the Text Similarity Measurement. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_16
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DOI: https://doi.org/10.1007/978-3-642-19853-3_16
Publisher Name: Springer, Berlin, Heidelberg
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