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A study on automatically extracted keywords in text categorization
2006
Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06
This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher performance -as measured by micro-averaged F-measure on a standard text categorization collection -is achieved when the full-text representation is combined with the automatically extracted keywords. The combination is obtained by giving higher weights to words in the full-texts that are also extracted as keywords. We also present results for
doi:10.3115/1220175.1220243
dblp:conf/acl/HulthM06
fatcat:lgelsjrxtja5rhymmdrkyrrbg4