Application of a clustering method on sentiment analysis

作者：Li, Gang; Liu, Fei^*

来源：Journal of Information Science, 2012, 38(2): 127-139.

DOI：10.1177/0165551511432670

• sentiment analysis
• opinion mining
• clustering
• semantic web

This article introduces a novel approach for sentiment analysis - the clustering-based sentiment analysis approach. By applying a TF-IDF weighting method, a voting mechanism and importing term scores, an acceptable and stable clustering result can be obtained. The methodology has competitive advantages over the two existing types of approaches: symbolic techniques and supervised learning methods. It is a well-performed, efficient and non-human participating approach to solving sentiment analysis problems.

• 出版日期2012-4