I'm working on a project where I have to perform aspect-based sentiment analysis on verbal comments. Can anybody suggest some good existing libraries or examples?
Aspect based sentiment analysis libraries
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evan.oman
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Not a tool per se but I had a a similar project and got pretty good results using the methods outlined in this paper. The basic idea is to use something like CoreNLP to run a dependency parse and then use some predefined patterns(like NN is/are/was ADJ) to find (aspect, adjective) pairs. The adjectives are then assigned a sentiment based on a provided adjective sentiment lexicon.
I was working with Yelp restaurant reviews and was able to code up a reasonably accurate extractor within a few days.
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Something similar to your project is the Twitter sentiment analysis projects.
Follow some examples:
I suggest you to use NLTK library. Check also the 'How To Section' for examples.
I hope that these information are usefull.
If these are not in your interest, please add some details to your questio in order to answer better.