@inproceedings{e069a7871ac849828e13673460b8dde7,
title = "A framework for opinion question answering",
abstract = "Question answering is a useful task to help people seek the knowledge of what they want to know. Previous study mainly focuses on factoid question answering, which serves the needs to answer factual questions. Due to rapidly increasing scale of user generated contents on the Web, people are more interested in opinion questions that can reflect others' opinions. In this paper, we propose a framework for opinion question answering by combining opinion mining with traditional question answering methods. Besides, we use question-answer opinion patterns to extract and rank candidate answers from text snippets. Experimental results on TREC Blog08 dataset reveal the potential of our framework.",
keywords = "Opinion mining, Opinion pattern, Opinion question answering, Sentiment analysis",
author = "Peng Jiang and Hongping Fu and Chunxia Zhang and Zhendong Niu",
year = "2010",
language = "English",
isbn = "9788988678312",
series = "Proc. - 6th Intl. Conference on Advanced Information Management and Service, IMS2010, with ICMIA2010 - 2nd International Conference on Data Mining and Intelligent Information Technology Applications",
pages = "424--427",
booktitle = "Proc. - 6th Intl. Conference on Advanced Information Management and Service, IMS2010, with ICMIA2010 - 2nd International Conference on Data Mining and Intelligent Information Technology Applications",
note = "6th International Conference on Advanced Information Management and Service, IMS2010, with 2nd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA2010 ; Conference date: 30-11-2010 Through 02-12-2010",
}