Sentiment Analysis of Flipkart Reviews using Distilbert: A Deep Learning Methodology

Abstract

In the competitive world of e-commerce, customer reviews act as a primary guide for new buyers. When people shop on major platforms like Flipkart, they rely heavily on the experiences of others to decide whether a product is worth their money. For businesses, this feedback is a vital resource; analyzing it correctly can reveal exactly what makes a product succeed or fail. This paper focuses on extracting those insights by applying DistilBERT, an advanced deep learning technique, to Flipkart product reviews. While standard analysis methods often miss the nuance in human language, this approach is designed to capture the true sentiment behind user comments more accurately. By decoding these public opinions with greater precision, companies can fine-tune their marketing strategies and improve their product lineups. Ultimately, this research bridges a gap in the current studies by demonstrating how modern deep learning tools can turn raw review data into a clear roadmap for increasing customer confidence and satisfaction.