Rich web resources such as discussion forum, review sites, blogs and news corpus available in digital form, tends the current research to focus on the area of sentiment analysis. Researchers are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. Accurate prediction methods can enable us, to extract opinions from the internet and make predictable decisions which will help economic or marketing research. The majority of existing mining approaches for opinion feature extraction depend on a single review corpus, ignoring word distributional characteristic across different domain. In this paper, a novel method is proposed to recognize opinion features from online assessment by determining the difference in opinion feature across two corpora, one domain-related corpus and one domain-independent corpus, which is a variant in method proposed in [1].

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11. Manjunathan, N. "Cross-Domain Opinion Mining Using a Thesaurus in Social Media Content. "
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Sentiments Opinion Features Opinion Mining.