How to perform sentiment analysis on a text dataset using RStudio - R for Data Science

This video shows an analysis and visualization technique in text mining known as sentiment analysis.

Sentiment analysis examines a text dataset to assign a sentiment score to the topic, theme or entities within a sentence or phrase.

For this task there are available several lexicons or dictionaries with lists of words (in English and other languages) and their associations with emotions and sentiments.

In the video you can learn how to work with a couple of R packages that have been developed with the main goal of running sentiment analysis on a text dataset.

You'll see how to work in R with several lexicons and how to display the results with appropriate visualizations.

[oul]

Hi there, thank you for saving my data science project! wish you all the best

[JorgeRodriguez-mpmt]

Thanks for sharing, greetings from Mexico

[warrenjamesbristol]

Thanks so much for this. This is awesome!

[Stelios_Giannatos]

What would be the approach if we wanted to use standford's coreNLP for sentiment analysis in R ? Amazing video btw!

[miransh]

Thank you for explaining, this runs much faster as compared to other solutions. How do you colorcode the plot?

[danielzet]

Hey, thank you for sharing
i am trying to do this process however R doesn't recognize the version (library(tidyverse)), what can i do?