Keywords extraction algorithm based on combined word and synset
基于组合词和同义词集的关键词提取算法*

This paper presented a Chinese webpage keywords extraction algorithm after the study of existing techniques for keyword extraction. The presented approach could extremely improve the performance of Chinese word segmentation system. The modified Chinese word segmentation system could recognise most of new terms, phrases and non-login words in Chinese webpage and this is vitally important for Chinese keyword extraction. Moreover, constructed a synset database and used adding the frequencies of synonyms together, avoiding the co-occurrence of synonyms in output. Further more, created a eva-luation function to score candidate keyword based on its location,length,part-of-speech. The experiment results show that the proposed algorithm has better performance compared with the traditional keyword extraction algorithms.