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Online reviews evolve rapidly over time, which demands much more efficient and flexible algorithms for sentiment analysis than the current approaches. Current approaches detect the overall sentiment of a document, without performing an in-depth analysis to discover. We propose a Document level sentiment classification in conjunction with topic detection and topic sentiment analysis of bigrams simultaneously...
Due to the advanced technologies of Web 2.0, people are participating in and exchanging opinions through social media sites such as Web forums and Weblogs etc., Classification and Analysis of such opinions and sentiment information is potentially important for both service and product providers, users because this analysis is used for making valuable decisions. Sentiment is expressed differently in...
Classification plays a vital role in many information management and retrieval tasks. This paper studies classification of text document. Text classification is a supervised technique that uses labeled training data to learn the classification system and then automatically classifies the remaining text using the learned system. In this paper, we propose a mining model consists of sentence-based concept...
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