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Re:Python NLTK Sentiment Analysis with Text Classification Demo by lrvick on Tuesday February 07, 2012 @03:18PM (#3563483)
Worth mentioning:

Open source sentiment analysis library based on NLTK: http://github.com/tawlk/synt

(Trains on as much twitter data as you want to learn internet slang)

Simple gist to do basic sentiment analysis:

https://gist.github.com/1266556

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Re:Python NLTK Sentiment Analysis with Text Classification Demo by rhnet on Tuesday February 07, 2012 @11:19AM (#3562344)
I wrote an article on use the NLTK library for gender prediction http://stephenholiday.com/articles/2011/gender-prediction-wi...

It's quite a versatile library.

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Re:Python NLTK Sentiment Analysis with Text Classification Demo by jarv on Tuesday February 07, 2012 @09:07AM (#3561790)
The NLTK python lib is a great tool. I've been playing around with this recently and having a lot of fun. More recently I started looking at SCOTUS oral transcripts:

http://jarv.org/2012/02/a-text-analysis-of-supreme-court-ora...

The two articles here by the same author are interesting for folks who are interested in more about sentiment analysis

http://streamhacker.com/2010/05/10/text-classification-senti... http://streamhacker.com/2010/06/16/text-classification-senti...

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Re:Python NLTK Sentiment Analysis with Text Classification Demo by dotpot on Tuesday February 07, 2012 @09:50AM (#3561935)
https://github.com/dotpot/Custom-String-Parser
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Re:Python NLTK Sentiment Analysis with Text Classification Demo by 3pt14159 on Tuesday February 07, 2012 @10:28AM (#3562095)
Needs more cowbell. "Wasn't that a fucking great movie?" => 0.7 Negative sentiment.
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Re:Python NLTK Sentiment Analysis with Text Classification Demo by swasheck on Tuesday February 07, 2012 @11:43AM (#3562482)
At least it got this one correct. "Mr. Madison, what you've just said is one of the most insanely idiotic things I have ever heard. At no point in your rambling, incoherent response were you even close to anything that could be considered a rational thought. Everyone in this room is now dumber for having listened to it. I award you no points, and may God have mercy on your soul." 0.8 Negative Sentiment.
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Re:Python NLTK Sentiment Analysis with Text Classification Demo by mattmcknight on Tuesday February 07, 2012 @11:13AM (#3562320)
"A better film has never been made. If this film was any better, it would simply cease to exist. Really, nothing about it could be improved. I have no complaints whatsoever about the acting, the script, or the cinematography. I was sad to see it end. I am going to go back tomorrow and watch it again."

1.0 Negative sentiment

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Re:Python NLTK Sentiment Analysis with Text Classification Demo by 3pt14159 on Wednesday February 08, 2012 @08:34PM (#3569413)
WOW! That is unbelievable. Usually things get better with more tokens. What a broken library.
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Re:Python NLTK Sentiment Analysis with Text Classification Demo by radikalus on Tuesday February 07, 2012 @11:53AM (#3562531)
"The movie was great"

Neg?

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