In an article published on Sunday — Mining the Web for Feelings, Not Facts– The New York Times gives some well-deserved ink (and clicks) to sentiment analysis, a research area that hasn’t received a lot of attention so far. With the exponential increase in consumer generated media and businesses’ realization that these opinions do have influence on reputation and sales, there’s more interest then ever in finding scalable, accurate and (as much as possible) automated solutions that will be able to take in large amounts of data, and push out insights and trends that can be used as real-time, actionable market intelligence.
The article does a great job at describing some of the challenges of opinion mining and sentiment analysis, but it’s hard to understand the difficulties of creating automated solutions without diving deep in the theoretical underpinnings of the algorithms used by these solutions. If you want to get an idea about what’s out there start by following the sample of links provided below.
What we’re seeing right now are very early steps on a long road, and –although one could think that the solution is at hand when they read in The Times that some algorithms get around 80% accuracy– well… there’s still a way to go. There are many technical and conceptual problems that need to be solved, and they’re far from trivial. Of course, we have a horse in this game, and we’re betting on it. Stay tuned.
Resources:
- Opinion mining and sentiment analysis, book by Bo Pang and Lillian Lee
- Research papers by Bing Liu, University of Illinois at Chicago (for an overview of the challenges that remained to be solved read his keynote talk at the 5th Annual Text Analytics Summit, Boston, June 1-2, 2009)
- Research papers by Jan Wiebe, University of Pittsburgh
- Research papers by Claire Cardie, Cornell University









Who Discovered The Drug http://theecozine.com/ – cheapest propecia There was a five year study using the medication with some taking it and some not taking it. order propecia online without prescription
Cash credit – often confused with the concept of a cash loan. Cash loan is a loan of money that is granted by a bank or other entity credit. Cash credit is usually spent for any purpose. The amounts of loans ranging from a few hundred gold to 100 000 PLN. Repayment of credit could in theory extend to 8 years. However, the loan period is usually a year or 2 years. There are also cash loans even shorter, even up to 3 months after taking the cash loan.
Chwilowki
The amount of cash loan depends on net income and the amount of cash loans already taken. The greater the debt of the borrower, the smaller the chance of a very large loan. Examples of where we are in debt in two different banks for the amount of respectively 10 000 15 000 gold and gold is our chance to take another 20 000 are very small. Although you may receive an amount such as 3 000, respectively. Everything depends on whether the installments repaid on a regular basis and we have a regular source of income.
Kredyt bez bik przez internet