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- Title
FEATURE RELEVANCE ANALYSIS IN ON-LINE MARKETING TO IMPROVE PRODUCTIVITY.
- Authors
LAKSHMI, P. DHANA; RAMANI, K.; REDDY, B. ESWARA
- Abstract
Opinion mining applications play a major role in identifying user perspectives. To extract useful information from huge volume of web resources, discussion forums, review sites and blogs is becoming a challenge. Majority of opinion mining approaches for feature extraction is based on static keywords appearing in single product review documents which may omit even relevant reviews. An automated opinion mining mechanism to produce summary of opinions based on a set of product reviews and multiple product features is needed. In this paper a technique for product feature relevance analysis using text mining concepts is proposed. The experiment results on Amazon mobile and office products review data shows the improvement in accuracy and efficiency of the proposed system over existing techniques.
- Subjects
INTERNET marketing; SENTIMENT analysis; PRODUCTION functions (Economic theory)
- Publication
i-manager's Journal on Software Engineering, 2015, Vol 9, Issue 3, p1
- ISSN
0973-5151
- Publication type
Article
- DOI
10.26634/jse.9.3.3467