Text Mining, Scraping and Sentiment Analysis with R

Learn how to use Twitter social media data for your R text mining work.

4.26 (492 reviews)

Udemy

platform

English

language

Data Science

What you will learn

use R for social media mining

get data from Twitter to do text analysis

perform web scraping tasks using the twitteR package

know which packages to use for web scraping

get R and Twitter connected

know how to perform a sentiment analysis in R

plot text data visualizations

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

The 'Text Mining, Scraping and Sentiment Analysis with R' course offers valuable insights into using Twitter data for text mining purposes. It effectively introduces various R packages and provides practical examples for implementing web scraping and sentiment analysis. However, the outdated content and insufficient detail on cleaning text data limit its overall impact. A more comprehensive approach to handling different aspects of text data would make this course even more appealing to both beginners and advanced learners.

What We Liked

Covers a wide range of topics from text mining and web scraping to sentiment analysis using R
Instructor provides clear instructions and examples on how to use the twitteR package for data collection
Provides insights into creating a custom sentiment scoring function
Explains various R packages that can be used for text mining and web scraping tasks

Potential Drawbacks

Some of the content is outdated, causing issues with code implementation
Lacks in-depth coverage of cleaning and preprocessing text data, making it difficult to handle special characters
Insufficient focus on advanced sentiment analysis techniques other than the simple dictionary approach
Code examples are presented as images within PDFs, causing inconvenience for learners who prefer copying and pasting code into their own R environments