Sentiment Analysis and Trend Prediction for E-commerce Website
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.
Institutions
- Sant Gadge Baba Amravati University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-08
- DOI
- https://doi.org/10.5281/zenodo.15366604
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00