Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
An empirical study of sentiment analysis for chinese documents
Expert Systems with Applications: An International Journal
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Detecting Overlapping Community Structures in Networks
World Wide Web
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
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The idea of applying a conjunction of sentiment and social network analysis to improve the performance of applications has recently attracted attention of researchers. In widely used online shopping websites, customers can provide reviews about a product. Also a number of relations like friendship, trust and similarity between products or users are being formed. In this paper a combination of sentiment analysis and social network analysis is employed for extracting classification rules for each customer. These rules represent customers' preferences for each cluster of products and can be seen as a user model. The combination helps the system to classify products based on customers' interests. We compared the results of our proposed method with a baseline method with no social network analysis. The experiments on Amazon's meta-data collection show improvements in the performance of the classification rules compared to the baseline method.