#StackBounty: #deep-learning #nlp #svm #text-classification #language-model Best approach for text classification of phrases with littl…

Bounty: 50

So I have the task of classifying sentences based on their level of ‘change talk’ shown. Change talk is a psychology term used in counseling sessions to express how much the client wants to change their behavior.

So let’s say there are two classes: change talk; and non-change talk.

An example of change talk is: "I have to do this." or "I can achieve this."

An example of non-change talk is "I can’t do this." or "I have no motivation."

My issue is, if I want to take a machine learning approach in classifying these sentences, which is the best approach? SVM’s? I do not have a lot of training data. Also – all the tutorials I look at use sentences with obvious words that can easily be classified (e.g. "The baseball game is on tomorrow." -> SPORT, or "Donald Trump will make a TV announcement tomorrow." -> POLITICS).

I feel my data is harder to classify as it typically does not have keywords relating to each class.

Some guidance on how people would approach this task would be great.

Get this bounty!!!

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