"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.
- Text Categorization concepts
- Computational Linguistics concepts
- Subjectivity Analysis
- Topic Extraction
- Product Reviews
- Sentiment analysis of Comparative Sentences
- Searching for Opinions
- Opinion Summarization
- Opinion Spam
Nitin Indurkhya is co-author of "Text Mining" (Springer), and co-editor of the "Handbook of Natural Language Processing" (CRC). Dr. Indurkhya is the founder and president of Data-Miner Pty Ltd, an Australian company engaged in data-mining consulting and education, and has served as Principal Research Scientist at eBay and Professor at the School of Computer Science and Engineering, University of New South Wales (Australia). Participants can ask questions and exchange comments directly with Dr. Indurkhya via a private discussion forum throughout each course.