Keyword Extraction Using PageRank on Synonym Networks

Keyword extraction is an important application in the area of information technology. Automatic keyword extraction can help people know what is the article primarily talking about without reading the long passage carefully. This paper mainly introduced a keyword extraction algorithm using pagerank on Synonym. Firstly, the content in a single document is represented as a weighted synonym co-occurrence network. Then pagerank algorithm is using on this synonym network to assign the rank for each synonym group. Finally, several synonym groups with top rank are picked out as keywords of the document. The algorithm is tested on the corpus of blog pages, and the experiment results prove practical and effective.