Tuesday, 6 December 2011

Sentiment Analysis, Text Mining

How are you (your organization/product/service) regarded in cyberspace?  Thrifty with money and time, people are unsparing with their opinions using Twitter, Facebook, Yelp, Flixster, blogs, web forums, product reviews...

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.

"Text Mining" will introduce the essential techniques of text mining -the extension of data mining's standard predictive methods to unstructured text. This course will discuss these standard predictive modeling techniques (some familiarity with these methods will help), and will devote considerable attention to the data preparation and handling methods that are required to transform unstructured text into a form in which it can be mined.  Access to software is provided with the course text.

"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.
Details: http://www.statistics.com/sentiment-analysis

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.

The core strength of these online courses is the instructors. Statistics.com has over 60 instructors, who are recruited based in their expertise various areas in statistics. Most of these instructors are internationally-known experts in their field. These instructors are the subject experts with industry / consulting experience.

You will be able to ask questions and exchange comments with the instructors via a private discussion board throughout the course.   The courses take place online at statistics.com in a series of 4 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune (www.c-elt.com).

For India Registration and pricing, please visit us at www.india.statistics.com.

If you have any query please feel free to call me or write to me. 

For More details contact at
Call: 020 66009116

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