Python NLTK Sentiment Analysis with Text Classification Demo

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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