Track
Business Intelligence and Knowledge Management
Abstract
The increasing online content has influenced users’ buying behavior. It has triggered a paradigm shift in marketing strategies,as the consumer is no longer swayed by marketers, instead relying on user comments for a particular product or service. Thispaper focuses on extracting information from feedbacks like suggestions and recommendation by the users that is oftenpresent along with the sentiment. While Sentiment Analysis looks at extraction of consumer sentiment, our focus is onextracting actionable feedback present in the text for use by different stakeholders like business analysts and the customer.Our focus is on mining the key suggestions present in text which would benefit the product developer. We present our resultsand observations in the paper.
Recommended Citation
Viswanathan, Amar; Venkatesh, Prasanna; Vasudevan, Bintu; Balakrishnan, Rajesh; and Shastri, Lokendra, "Suggestion Mining from Customer Reviews" (2011). AMCIS 2011 Proceedings - All Submissions. 155.
https://aisel.aisnet.org/amcis2011_submissions/155