Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-perspective question answering using the OpQA corpus
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Mining slang and urban opinion words and phrases from cQA services: an optimization approach
Proceedings of the fifth ACM international conference on Web search and data mining
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The growth of the Social Web led to the birth of new textual genres such as blogs, forums or reviews. Such data sources are extremely relevant because texts pertaining to these categories approach a wide range of topics and are written by people with different social backgrounds. As a consequence, they represent a rich resource that can be exploited to carry out different types of analyses by a whole diversity of entities (potential customers, companies, public figures, political parties, etc.). For this research we created a collection of factoid and opinion questions in Spanish, with the purpose of comparing the performance of an open domain and an opinion QA system. Furthermore, we carried out two separate evaluations for each one of them and thoroughly analysed the results in order to understand the reasons for the problematic cases, thus being able to infer the features that an effective QA system for opinions should have. Our conclusion is that this task requires the use of specialised resources, whose creation for languages other than English is highly necessary.