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Context-aware Sentiment Detection From Ratings

Authors: 
Publication Type: 
Refereed Original Article
Abstract: 
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-
Digital Object Identifer (DOI): 
10.1007/978-3-319-47175-4_6
Publication Status: 
Published
Date Accepted for Publication: 
Tuesday, 6 December, 2016
Publication Date: 
05/11/2016
Journal: 
Thirty-sixth SGAI International Conference on Artificial Intelligence
Issue: 
Chapter Research and Development in Intelligent Systems XXXIII
Pages: 
pp 87-101
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No