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I have a large number of unlabelled customer review data(text column) and my objective is to classify each review to a particular topic. Customer_review_data

Also I have a list of unigrams,bigrams and trigrams(not a part of the customer review data) where each n-gram(word column) is tagged with a particular topic(topic column).

n-gram topic mapping data

Is there a way to classify the customer reviews to the topics associated with the n-grams? I am mostly thinking in terms of Word2Vec and Doc2Vec approaches.

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You might want to look at the Facebook starspace library - their examples are similar but with suggesting Facebook pages and hashtags.

https://github.com/facebookresearch/StarSpace

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