Keyword extraction based on tf/idf for Chinese news document

@article{Li2007KeywordEB,
  title={Keyword extraction based on tf/idf for Chinese news document},
  author={Juanzi Li and Qi’na Fan and Kuo Zhang},
  journal={Wuhan University Journal of Natural Sciences},
  year={2007},
  volume={12},
  pages={917-921}
}
Keyword extraction is an important research topic of information retrieval. This paper gave the specification of keywords in Chinese news documents based on analyzing linguistic characteristics of news documents and then proposed a new keyword extraction method based on tf/idf with multi-strategies. The approach selected candidate keywords of uni-, bi-and tri- grams, and then defines the features according to their morphological characters and context information. Moreover, the paper proposed… CONTINUE READING
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