Paper: Expresses-an-opinion-about: using corpus statistics in an information extraction approach to opinion mining

ACL ID C10-2126
Title Expresses-an-opinion-about: using corpus statistics in an information extraction approach to opinion mining
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

We present a technique for identifying the sources and targets of opinions without actually identifying the opinions them- selves. We are able to use an informa- tion extraction approach that treats opin- ion mining as relation mining; we iden- tify instances of a binary “expresses-an- opinion-about” relation. We find that we can classify source-target pairs as be- longing to the relation at a performance level significantly higher than two relevant baselines. This technique is particularly suited to emerging approaches in corpus-based so- cial science which focus on aggregating interactions between sources to determine their effects on socio-economically sig- nificant targets. Our application is the analysis of information technology (IT) innovations. This is an example of a more gene...