Digital Literary Analysis Using Text Mining and Sentiment Analysis

Abstract

This paper explores the use of text mining and sentiment analysis techniques to analyze Amazon
product reviews. Python libraries such as Pandas, Matplotlib, NLTK, and Scikit-learn are used to
preprocess and analyze customer feedback. Text preprocessing techniques including tokenization,
stop-word removal, and stemming or lemmatization are applied. The analysis focuses on
sentiment and emotion distribution, as well as word frequency patterns, to gain insights into
customer opinions and overall product perception.