Sentiment Analysis with Text Mining with R

Author

Pascal Hermann Kouogang Tafo

INTRODUCTION

Human often use their understanding of the emotional intent of words to infer whether a section of text is positive or negative. In Chapter 2 of Text Mining with R,authors introduce sentiment analysis and our assignment consists to reproduce and extend the primary example.

PLANNED APPROACH

To tackle this task, we will go work as followed:

Load the tidyverse, tidytext, and janeaustenr libraries to mirror the original environment.
Process the text of Emma and Pride and Prejudice using the bing and nrc lexicons to recreate the net sentiment trajectories.
Import a new dataset to test the flexibility of the tidy format.
Incorporate a third lexicon to observe how domain-specific emotional tagging differs from general-purpose dictionaries.
Visualize the results of all three lexicons against the new corpus to identify shifts in absolute vs. relative sentiment.