Paper: Determining Term Subjectivity And Term Orientation For Opinion Mining

ACL ID E06-1025
Title Determining Term Subjectivity And Term Orientation For Opinion Mining
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Opinion mining is a recent subdiscipline of computational linguistics which is con- cerned not with the topic a document is about, but with the opinion it expresses. To aid the extraction of opinions from text, recent work has tackled the issue of determining the orientation of “subjec- tive” terms contained in text, i.e. decid- ing whether a term that carries opinion- ated content has a positive or a negative connotation. This is believed to be of key importance for identifying the orientation of documents, i.e. determining whether a document expresses a positive or negative opinion about its subject matter. We contend that the plain determination of the orientation of terms is not a realis- tic problem, since it starts from the non- realistic assumption that we already know whether a...