some rewording

Author: rcurty

chapters/3.SentimentAnalysis/introduction.qmd

@@ -20,7 +20,7 @@ Whether through product reviews, political commentary, or social media posts in
 
 Our analysis pipeline will follow a two-step approach. First, we will compute basic sentiment polarity to determine whether viewers who commented on both season finales reacted more negatively, neutrally, or positively. Next, we will apply a more fine-grained emotion detection technique to capture and analyze the specific emotional expressions conveyed in the text.
 
-Let’s start by installing and loading the necessary packages, then bringing in the cleaned dataset so we can begin our sentiment analysis.
+Let’s start by installing and loading the necessary packages, then bringing in the cleaned dataset so we can begin our sentiment analysis. We will discuss the role of each package in the next episodes.
 
 ``` r
 # Install Packages