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Introduction to Sentiment Analysis in R with quanteda

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In this guided project, you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), and tokenize the text all using the R software package quanteda. You will then learn how to check for words with positive or negative sentiment within the text, and how to plot the proportion of use for these words over time, while stratifying by a third variable. You will also learn how to carry out a targeted sentiment analysis by looking for words with a positive or negative sentiment that are adjacent to relevant keywords or phrases, and how to compare the results of a targeted sentiment analysis with the results of a generic analysis.

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Discover the essentials of sentiment analysis in the realm of Big Data and Analytics with the "Introduction to Sentiment Analysis in R with quanteda" course. Designed for beginners, this engaging guided project will introduce you to the powerful R software package, quanteda. Throughout this 180-minute course, you will gain hands-on experience in importing raw textual data into R, converting this data into a structured corpus, and performing text tokenization. Offered by Coursera, this course provides a comprehensive foundation for anyone looking to delve into the world of text analysis and sentiment evaluation. Best of all, it's available for free, making it an accessible opportunity for aspiring data analysts and enthusiasts eager to expand their skills in sentiment analysis.