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What is the existing mood analysis algorithm?

I and a group of people are developing a Mood Analysis Algorithm. I would like to know what the existing ones are, because I want to compare them. Is there an article in which there are basic algorithms in this area?

Thanks in advance

Thiago

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2 answers

Some of the mood analysis articles may help you -

For quick implementation, it is recommended to use naive bays. Here you can find an example http://nlp.stanford.edu/IR-book/

We made a statistical comparison of various classifiers and found that SVM is the most accurate, although for a data set consisting of large content ( http://ai.stanford.edu/~amaas/data/sentiment/ ) none of the methods worked well . However, our study may not be accurate. Also, instead of viewing sentiment analysis as a text classification problem, you can look at extracting meaning from the text, although I don't know how successful it is.

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obviously, NLTK, the python natural language processing library, has one:

http://text-processing.com/demo/sentiment/

Maybe you should take a look at it.

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