Turkish keyphrase extraction using multi-criterion ranking
2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28670
Keyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.
- Conference Paper