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@article{180784,
        author = {Aditya Mohite and Amit Biradar and Ankkit Mahadik and Suraj Khot and Mazen Momin and Minal Toley},
        title = {Price Comparison with Sentimental Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2844-2854},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180784},
        abstract = {The project focuses on enhancing online shopping by combining price comparison with review sentiment analysis. It begins by collecting product information from various e- commerce websites using methods like web scraping or APIs. This enables the system to display prices of the same product across different online stores, allowing users to easily identify the lowest price. Additionally, it employs natural language processing (NLP) to analyze customer reviews, determining whether the feedback is positive, negative, or neutral. This analysis provides insights into the overall satisfaction level of the product. The results are presented through a user-friendly interface, enabling users to quickly make informed decisions based on both price and customer sentiment. By considering these factors, shoppers can find products that offer the best value, not just the cheapest option but also the highest quality based on customer feedback. The system is designed to provide real-time updates, ensuring users receive the most accurate and current data. Ultimately, this combination of features enhances shopping efficiency by saving time and helping consumers make smarter purchases.},
        keywords = {},
        month = {June},
        }