CODEWITHSUNDEEP
rtext-miningsentiment-analysistm
Ritesh Jung Thapa
Ritesh Jung Thapa

Reputation: 1187

Classifying anger,disgust,fear,joy,sadness,surprise using RTextTools

I have trying to do sentiment analysis of tweets. I am trying to classify anger,disgust,fear,joy,sadness,surprise of those tweets which is generally done by RTextTools. But I can't how to do it? It would helpful if anyone would help.

Any way of doing it would help. I am not trying to achieve positive or negative categorization. Which i have successfully done.

Similar categorization can be done in sentiment R package. But only Bayes Algorithm can be used. It is also okay if I can apply other Algorithms in the classify_emotion() of sentiment package.

Upvotes: 0

Views: 451

Answers (1)

Sven Büchel
Sven Büchel

Reputation: 719

You should check out the caret package (http://topepo.github.io/caret/index.html). What you are trying to do are two different classifications (one mulit-class and one two class problem). Represent the document as term frequency vectors and run a classification algorithm of your choice. SVMs usually work well with bag of words approaches.

You would need some training data of course, but there are data sets available. https://www.crowdflower.com/data-for-everyone/

Upvotes: 1

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