YouR feelings: How to conduct a sentiment analysis using R programming

Sentiment analysis can reveal how people are truly responding to a product, service, or social issue. Pierre DeBois demonstrates how to conduct a sentiment analysis in R programming using Twitter.

Sentiment analysis can reveal how people are truly responding to a product, service, or social issue. Using Twitter data, Pierre DeBois demonstrates how to conduct a sentiment analysis in R programming—a standard choice among data scientists and programmers to explorer data and associated statistical techniques. Twitter is a great platform for sentiment analysis because of the range of user responses, especially in reaction to social issues raised on the platform. Pierre walks you through using R for sentiment analysis, covering R basics, packages that can be used on Twitter (and other social media) to download data, functions to parse hashtags and comments in Twitter, and best practices in displaying results. The result is a better understanding of trending topics and remarks about brands, services, and products as well as a means to identify grievances and key social issues.