Research
Insight Finding with Sentiment Analysis of Large-scale Social Media
Background & Motivation
- Current search engines are good on "Fact Finding" but not capable of "Insight Finding".
- Fact Fining : What is the system requirements of Windows 7?
- Insight Finding : Would the people buy it? If so, why?
- Web 2.0 enables users to generate media and share them with others through internet
- Information flow from one-directional to bi-directional
- Ability to search for sentiment and insight become important
Goal of Project
- Develop a noble insight finding method that can collect user generated media, expand the ontology automatically for broad domains, analyze and summarize the sentiments.
Method & Results
- Develop insight crawler for collecting the consumer generated media.
- Develop technologies for extracting sentiments using combination of statistical learning and rule-based methods; techniques for removing spam postings and weighting method for improving quality; classification models for classifying sentiment orientations and for determining the relevant domains.
- Develop ontology expansion model for automatic discovery of new domains and for automatic expansion of predefined domains