Question

Sentiment Analysis is an example of:

Regression

Classification

Clustering

Reinforcement Learning

Options:

A. 1 Only

B. 1 and 2

C. 1 and 3

D. 1, 2 and 3

E. 1, 2 and 4

F. 1, 2, 3 and 4

Answer 1

Answer: (E)

At the fundamental level, Sentiment analysis classifies the sentiments represented in an image, text, or speech into a set of defined sentiment classes like happy, sad, excited, positive, negative, etc. It can also be viewed as a regression problem for assigning a sentiment score of, say, 1 to 10 for a corresponding image, text, or speech.

Another way of looking at sentiment analysis is to consider it using a reinforcement learning perspective where the algorithm constantly learns from the accuracy of past sentiment analysis performed to improve future performance.