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data request

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In Computational Linguistics this task is called Sentiment Analysis.

there is a plethora of data sets for sentiment analysis but it will always depend on the kind on text you will want to apply the trained model afterwards. So if you want to apply it to tweets, then your training data shall be annotated tweets, if you want to apply it to Wikipedia pages, then you need annotated Wikipedia pages.

For a start take a look at these sources to get sentiment analysis dataset: huge ngrams dataset from google

storage.googleapis.com/books/ngrams/books/datasetsv2.html http://www.sananalytics.com/lab/twitter-sentiment/ http://inclass.kaggle.com/c/si650winter11/data http://nlp.stanford.edu/sentiment/treebank.html https://github.com/AndbrainTeam/emotional-sensor-data-set-

or you can look into this global ML dataset repository:

https://archive.ics.uci.edu/ml

play around and see what actually fits you.

you can see this link too i think its useful data set



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