Sentiment analysis is the relatively new art and science of distilling useful data from this mass of unstructured text. The first annual conference on this subject was just held in NYC (google "Sentiment Analysis Symposium"); one of the main presenters was Nitin Indurkhya and his staff from eBay. He will present two online courses at statistics.com.
"Sentiment Analysis" introduces you to the algorithms, techniques and software used in sentiment analysis. Their use will be illustrated by reference to existing applications, particularly product reviews and opinion mining. The course will try to make clear both the capabilities and the limitations of these applications. For real-world applications, sentiment analysis draws heavily on work in computational linguistics and text-mining. At the completion of the course, a student will have a good idea of the field of sentiment analysis, the current state-of-the-art and the issues and problems that are likely to be the focus of future systems.
Nitin Indurkhya is co-author of "Text Mining" (Springer), and co-editor of the "Handbook of Natural Language Processing" (CRC). Dr. Indurkhya is Principal Research Scientist at eBay. Previously, he was a Professor at the School of Computer Science and Engineering, University of New South Wales (Australia), as well as the founder and president of Data-Miner Pty Ltd, an Australian company engaged in data-mining consulting and education. Participants can ask questions and exchange comments directly with Dr. Indurkhya via a private discussion forum throughout each course.