Sentiment Analysis with R – Workshop Repository

Welcome to the Sentiment Analysis with R workshop! This repository contains the materials and resources needed for the session.

Workshop Description

This workshop explores the fundamentals of sentiment analysis using R, with a focus on practical text mining techniques, sentiment scoring, and advanced visualization. Designed for intermediate R users, the session aims to equip participants with the skills to extract meaningful insights from textual data.

Contents

• slides/ – Workshop slides (PDF or HTML)
• scripts/ – R scripts for hands-on exercises
• scripts/data/ – Sample text files and datasets
• outputs/ – Folder for saving your analysis results
• resources/ – Supplementary materials and references

What You’ll Need

Please ensure the following before the session:

• R and RStudio installed on your computer
• Basic familiarity with R (loading packages, working with data frames)
• Internet connection (for package installation and resources)

Suggested Preparation

• If possible, bring one or more .txt files you'd like to analyse (e.g., reviews, social media posts, news articles).
• Familiarise yourself with basic tidyverse functions (dplyr, ggplot2, etc.).
• If you haven't used text mining tools before, consider reviewing basic concepts such as tokenization and word frequency.

Key Packages Used

The following R packages will be used during the workshop:

• tidyverse
• tidytext
• ggplot2
• readr
• qdap (optional, for extended sentiment lexicons)

Credits

Workshop designed and facilitated by [Giulia Grisot].
For questions or follow-up, contact: [[email protected]]

License

All materials are provided for educational purposes and are under MIT license. Please cite appropriately if reusing.