Information Extraction, Sentiment analysis, and Recommendations
by Oren Etzioni (Executive Director, Allen Institute for AI, USA)
Information Extraction (IE) is the task of mapping unstructured text to semantic representations. Sentiment Analysis (SA) is the task of identifying a person’s attitude about an object from text (e.g., a product review). Both technologies have become increasingly successful and prevalent in recent years. I will describe the state-of-the-art in both IE and SA, and demonstrate a number of their applications in research prototypes such asrevminer.com and at companies such asDecide.com. Then, I will describe the synergy between these methods and collaborative filtering algorithms, reporting on our recent results applying combinations of these methods to Yelp data.
About the Speaker
Oren Etzioni is the Executive Director of the Allen Institute for AI. From 1991 to 2013, he was a Professor of Computer Science at the University of Washington. Oren received his PhD from Carnegie Mellon in 1991. He received the National Young Investigator Award in 1993, and was selected as a AAAI Fellow in 2003. He is the author of over 100 technical AI papers cited almost 20,000 times. He is also the founder of three companies: Netbot (acquired by Excite in 1997), Farecast (acquired by Microsoft in 2008), and Decide (acquired by eBay in 2013).
Oct 14, 2013 (8:30 – 10:15)