November 2017
Beginner to intermediate
366 pages
7h 59m
English
In this chapter, we are going to leverage dictionary and machine learning methods.
Look at the steps we are going to follow:

After extracting our text, we are going to use the dictionary-based approach to first give sentiment scores to the extracted tweets. Later, we will manually verify if the scores are good. This is our gold set of data for building a classifier. We divide this data into two sets, one we will use for training our classifier, and the other we will use to test our classifier. Since we don't have any pre-labeled tweet data, we are following this approach.
Let us now proceed to build our gold dataset using a sentiment ...
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