Keywords Weights Improvement and Application of Information Extraction

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 144)

Abstract

In keywords extraction approach, TF-IDF algorithm was commonly used as a formula for calculating the weighting of keywords, the algorithm was relatively simple and had higher precision and recall rate, but it exits many defects. This article based on the traditional TF-IDF formula to calculation weighting, put forward improvement TF-IDF formula based on the weighting of the location and the keyword length, through the experimental result inspects show that the proposed method outperforms TF-IDF in precision and recall.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Jiangxi University of Science and TechnologyGanzhouChina
  2. 2.Department of ComputerGanNan Teach CollegeGanzhouChina

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