Text Mining and Sentiment Analysis in R

This article will look to show techniques for text mining and sentiment analysis in R. Also the article will give an understanding of what text mining and sentiment analysis is. Prerequisites for the walkthrough in R will be provided. The code and dataset used for the walkthrough can be found at the below GitLab or GitHub address:

GitHub:

GitLab:

The simplest definition for text mining is the process of transforming unstructured text to structured text to evaluate for any patterns. Sentiment analysis is apart of natural language processing that attempts to identify the emotional tone behind a body of text. These processes go hand in hand as text mining is requirement to perform sentiment analysis.

The above is the a screenshot preview of the data that will be used for this walkthrough. As can be seen there is a rating and review column. This data provides review for dealerships and a rating that are provided by consumers. For this walkthrough the review column will be used for sentiment analysis.

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