Sentiment Analysis: Analyzing Flipkart Product Reviews using NLP and Machine Learning

Sentiment analysis is highlighted as an essential tool for understanding consumer sentiment, with a particular focus on Flipkart product reviews. This paper provides a comprehensive review, drawing from a wide range of scholarly sources. It compares various sentiment analysis algorithm such as naive bayes, logistic regression, and support vector machines, utilizing methodologies from prior research that incorporate machine learning and natural-language-processing techniques. By examining these approaches, the paper delves into the complexities of sentiment analysis on e-commerce platforms. It also identifies existing gaps in the literature and stresses the need for further investigation in this rapidly growing field. Through an in-depth analysis of previous efforts, the paper offers valuable insights into the effectiveness of different sentiment analysis methods, thereby providing guidance for future research and practical applications.