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I am trying to build a classifier to detect subjectivity. I have text files tagged with subjective and objective . I am little lost with the concept of features creation from this data. I have found the lexicon of the subjective and objective tag. One thing that I can do is to create a feature of having words present in respective dictionary. Maybe the count of words present in subjective and objective dictionary. After that I intend to use naive bayes or SVM to develop the model

My problem is as follow

  • Is my approach correct ?
  • Can I create more features ? If possible suggest some or point me to some paper or link
  • Can I do some test like chi -sq etc to identify effective words from the dictionary ?
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You can use opinion mining tools. Neutral sentences will probably be non-subjective.

BTW, can you please share the dataset? It might be very helpful for my research.

Thanks a lot!

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