Bibtex de la publication

@InProceedings{ MiBo2009.3,
author = {Missen, Malik Muhammad Saad and Boughanem, Mohand},
title = "{Using WordNet's Semantic Relations for Opinion Detection in Blogs (poster)}",
booktitle = "{European Conference on Information Retrieval - Poster Session (ECIR 2009), Toulouse, 06/04/09-09/04/09}",
editor = {Boughanem, Mohand},
year = {2009},
publisher = {Springer-Verlag},
address = {},
series = {LNCS},
number = {5478},
pages = {729--733},
language = {anglais},
keywords = {Opinion Detection, Blogs, WordNet, Semantic Relatedness},
abstract = {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 usersÂ’ 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.}