%0 Conference Paper %1 Taboada:2009:GPC:1708376.1708385 %A Taboada, Maite %A Brooke, Julian %A Stede, Manfred %B Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue %C Stroudsburg, PA, USA %D 2009 %I Association for Computational Linguistics %K analysis genre movie review sentiment %P 62--70 %T Genre-based Paragraph Classification for Sentiment Analysis %U http://dl.acm.org/citation.cfm?id=1708376.1708385 %X We present a taxonomy and classification system for distinguishing between different types of paragraphs in movie reviews: formal vs. functional paragraphs and, within the latter, between description and comment. The classification is used for sentiment extraction, achieving improvement over a baseline without paragraph classification. %@ 978-1-932432-64-0

@inproceedings{Taboada:2009:GPC:1708376.1708385, abstract = {We present a taxonomy and classification system for distinguishing between different types of paragraphs in movie reviews: formal vs. functional paragraphs and, within the latter, between description and comment. The classification is used for sentiment extraction, achieving improvement over a baseline without paragraph classification.}, acmid = {1708385}, added-at = {2016-01-11T18:07:42.000+0100}, address = {Stroudsburg, PA, USA}, author = {Taboada, Maite and Brooke, Julian and Stede, Manfred}, biburl = {https://www.bibsonomy.org/bibtex/25e05811dfde6eae658ea4cc9e12a6067/schwemmlein}, booktitle = {Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue}, description = {Genre-based paragraph classification for sentiment analysis}, interhash = {eaaabf8d0bf656292842e2ae8c217ef9}, intrahash = {5e05811dfde6eae658ea4cc9e12a6067}, isbn = {978-1-932432-64-0}, keywords = {analysis genre movie review sentiment}, location = {London, United Kingdom}, numpages = {9}, pages = {62--70}, publisher = {Association for Computational Linguistics}, series = {SIGDIAL '09}, timestamp = {2016-01-11T18:07:42.000+0100}, title = {Genre-based Paragraph Classification for Sentiment Analysis}, url = {http://dl.acm.org/citation.cfm?id=1708376.1708385}, year = 2009 }