Paper: PageRanking WordNet Synsets: An Application to Opinion Mining

ACL ID P07-1054
Title PageRanking WordNet Synsets: An Application to Opinion Mining
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

This paper presents an application of PageR- ank, a random-walk model originally de- vised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic prop- erty. The semantic properties we use for ex- emplifying the approach are positivity and negativity, two properties of central impor- tance in sentiment analysis. The idea derives from the observation that WordNet may be seen as a graph in which synsets are con- nected through the binary relation “a term belonging to synset sk occurs in the gloss of synset si”, and on the hypothesis that this relation may be viewed as a transmit- ter of such semantic properties. The data for this relation can be obtained from eX- tended WordNet, a publicly available sense- disambiguated version o...