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Context-aware Sentiment Detection From Ratings

Publication Type: 
Refereed Conference Meeting Proceeding
Sentiment analysis and opinion mining techniques aim to identify, analyse, and understand the subjective information in textual material provided by users. They have become increasingly popular when it comes to harness the explosion of usergenerated content from short tweets and status updates to more detailed customer reviews. For example, [7] mine positive and negative sentiment from news articles about stocks and uses this to visualise market sentiment and pricing information for the user. Likewise Tumasjan et al. [19] demonstrated the potential to predict election outcomes by extracting the political sentiment contained within tweets. Elsewhere [15] describes how to help users compare different products by summarizing sentiment information across different product features from customer reviews. And Dong et al. propose an opinionated product recommendation technique that com-
Conference Name: 
International Conference on Innovative Techniques and Applications of Artificial Intelligence
Digital Object Identifer (DOI): 
Publication Date: 
Chapter Research and Development in Intelligent Systems XXXIII
pp 87-101
Research Group: 
National University of Ireland, Dublin (UCD)
Open access repository: