Feature Extraction from Informal Text for Opinion Mining
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 7
Abstract
With the rapid development of web, most of the customers express their opinions on various kinds of entities, such as products and services on web. These reviews provide useful information to customers for reference. These reviews are also valuable for merchants to get the feedback from customers and improve the qualities of their products or services. However, the contents are stored in mostly either unstructured or semi-structured format. We are trying to improve mining approach to mine product features, opinions from Web opinion sources for informal text. The extracted feature-opinion pairs and sentence-level review source documents are modeled using a graph structure.
Authors and Affiliations
Namrata Adhao
Keywords
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