Keyword Extraction Using Language Network
Jianyi Liu, Jinghua Wang · 2007
In this paper, we introduced language network and described three kinds of networks. Keyword extraction is an important technology in many areas of document processing. In particularly, a keyword extraction algorithm based on language network and PageRank is proposed. Firstly a semantic network for a single document is build, then Pagerank is applied in the network to decide on the importance of a word, finally top-ranked words are selected as keywords of the document. The algorithm is tested on the corpus of CISTR, and the experiment result proves practical and effective.