Sentiment Analysis with R, an introduction

This directory sums up existing resources for sentiment analysis based on R.

This sandbox is meant to be used with Paris Diderot students for their MIIC Master in 2019-2010.

1. Description

2. Assessment

3. Provisional Outline

3.1. Rstudio, the basics (link to Paula Lisson's intro sessions) 3.2. Some useful concepts for Machine Learning (supervised vs. unsupervised learning) 3.3. dictionary-based approaches to Sentiment Analysis vs. more elaborated annotations. 3.4. scraping data : some examples 3.5.

4. Suggested Projects for the module

5. Reference section