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Sentiment Analysis has been an interesting task of web content mining these years due to rapid growth of user generating content. As the annotated data are expensive to get, the unsupervised approaches are preferred. Usually, a lexicon is required when apply the unsupervised approaches. In the paper, based on Latent Dirichlet Allocation (LDA), we propose a model to construct a lexicon for sentiment...
As an emerging area in information retrieval, question answering aims at retrieving answers to user-posted questions from a given sentence collection or text corpus. In question answering, the queries are usually submitted in the form of short sentences which are unable to represent user intentions sufficiently. In this study, we present a novel framework which improves question answering through...
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