Sentiment Analysis and Trend Prediction for E-commerce Website
Year: 2025
Type: article
Abstract: In recent years, the growth of online shopping has transformed how consumers buy products, making it essential for users to access information that helps them make informed purchasing decisions. One of the key factors influencing these decisions is price, and various e- commerce platforms like Amazon, Flipkart, Reliance Digital offer different prices for the same product. The proposed work explores the implementation of a sentiment analysis tool embedded within a platform that aggregates product price data from multiple e-commerce websites, offering users the best price along with insights into customer sentiment about these prices. The report discusses the project's design, challenges faced, and its broader implications for consumers and e- commerce platform.
Authors: Gughane, Tanaya, Deshmukh, Aditya, Ghule, Tanvi, Kalambe, Sanchita, Chanekar, Raksha, Jaiswal, Prof. Akhil M.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893250467
FWCI:
Cites:
Cited by:
Related to: