Keyword Extraction Using Language Network

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.