Abstract de la publi numéro 10124
The Opinion Detection from blogs has always been a challenge
for researchers. One of the challenges faced is to find such documents that
specifically contain opinion on users information need. This requires text
processing on sentence level rather than on document level. In this paper,
we have proposed an opinion detection approach. The proposed approach
focuses on above problem by processing documents on sentence level using
different semantic similarity relations of WordNet between sentence words
and list of weighted query words expanded through encyclopedia
Wikipedia. According to initial results, our approach performs well with
MAP of 0.28 and P@10 of 0.64 with improvement of 27% over baseline
results. TREC Blog 2006 data is used as test data collection.