Question: Q 1 0 . Sentiment Analysis a . Discuss supervised learning for sentiment analysis. There are feelings like neutral, joy, trust, fear, surprise, sadness and

Q10. Sentiment Analysis a. Discuss supervised learning for sentiment analysis. There are feelings like neutral, joy, trust, fear, surprise, sadness and anger. Use keyword and distance-based approaches to map these sentiments. b. Create multi-label learner using statistical learning. c. Create your learn set and test set with 20 samples each. d. Write pseudo code and explain the results on above samples.

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