Opinion mining and sentiment analysis is the computational study of people’s opinions, and emotions toward entities, issues, events and etc. It has become a very active research area in natural language processing (NLP) and text mining due to many challenging research problems and a wide arrange of applications. Although a large number of papers have been published, the pace of the progress has not been very fast due to the difficulty of natural language understanding.
In this talk, I will first introduce the opinion mining problem and sentiment analysis, and then discuss several sub-problems which need novel data mining algorithms and in the same time show some practice issues and challenges.