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R Data Analysis Projects
book

R Data Analysis Projects

by Mark Hodnett, Gopi Subramanian
November 2017
Beginner to intermediate
366 pages
7h 59m
English
Packt Publishing
Content preview from R Data Analysis Projects

Our approach

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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Publisher Resources

ISBN: 9781788621878