... From: Malu Castellanos <malu@...> Call for Papers Workshop on Text Mining (http://www.cs.utk.edu/tmw08) April 26, 2008 Hyatt Regency Hotel Atlanta,...
No great revelations, but an interesting customer-uptake item -- http://www.computerworld.com/action/article.do?command=viewArticleBasic&articleId=9046938 ...
Greetings from the world of web traffic analytics. I'm looking for software that will take a list of words and phrases and reduce the list to topics or lemma....
Hi Chris, We have two simple to use COM components that might help you. One processes words (including lemmatization, segmentation, and exception handling),...
Chris, I wish there was such software but I do not know anything that will do what you seek to do. However, I suspect you could turn this question backwards...
Sorry, I seem to have misread the original message. You're basically asking for extraction of "common concepts". Our components do this as well. Best regards, ...
Great question. There are boatloads of proximity metrics, e.g., dice, jaccard, chi-square, etc., that could create a pairwise similarity index for each of the...
Hi Seth, This is a very interesting piece. Frankly, it's difficult to imagine a financial institution putting much trust in what they get from unstructured ...
Seth and Vadim, I know of several Large and medium size P&C Insurance companies which are investing heavy in the Text Mining Analytics arena. In my prior...
Hello Vadim, I don't think text analytics is at the point where any financial institution -- or any larger corporation -- is going to say to itself, "Let's put...
Seth and Vadim, I will reiterate once again - once you have 1 or 2 large/medium size financial companies demonstrating how TA has proven a success story - then...
Hi Charles, Could you please elaborate how they benefitted from the predictive analytics? Do they actually allocate expenses based on these predictions? Plus,...
... Date: Thu, 3 Jan 2008 13:22:43 -0800 From: Omar Alonso <oralonso@...> This is just a short email about an event that I'm co-organizing as part of the...
Seth, When and where is this conference? Due to IP, I would love to present a paper but my former employer would really have a problem with me presenting...
Hello all, I'm looking for researcher and end-user thoughts on extraction and analysis of attitudinal information -- sentiments & opinions -- for an article...
Seth, Does asking questions fall into this topic? That is, we had to deal with questions being asked within Text which would often throw a monkey wrench into...
Charles, questions such as "Do you like Rice Krispies?" would certainly be sentiment/opinion related without actually expressing an attitude, unlike the...
Hi Guys, I am thinking of a startup in India and need someone who has mastered out text analytics to be part of our team. If anyone is interested in this or...
Seth, I would agree that opinions / attitudes / sentiment would be very difficult and most likely have to be domain specific - that is, based upon culture. ...
Seth, We're doing sentiment analysis on blog, news, and message board posts to determine the aggregate conversation tonality around companies, their products...
Dear Prabhu, Hmmm, so what have you to offer me? I am a natural born US citizen and the thought of moving to India has not crossed my mind, and probably not...
Hi Seth, I'll re-iterate what I mentioned in our earlier private exchange - if not for you, then for other people. ** As a developer (obviously, a biased view...
Thanks Vadim. In addition to the statistics vs. linguistic approaches you describe, two hybrids are worth considering: 1) Improving extraction of sentiment...
Hi Seth, Well, when such options are available, they are probably the first to be considered - although, in case of IMDB's ranking, it already eliminates the ...
Using the text from reviews to try to predict the score is certainly an interesting task in sentiment extraction but it is surprisingly difficult. On the...
Moreover, sentiment detection shifts per domain. You can train it on the movie review database but the lexicon changes somewhat for music, books, consumer...
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