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@article{181727,
        author = {Sayali Suresh Kadam and Aishwarya Mahendra Chavan and Kiran Ananda salunkhe and Divya prakash jadhav and Kalyani rajendra Jadhav},
        title = {Sentiment analysis of amazon review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {6149-6154},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181727},
        abstract = {This sentiment analysis tool processes Amazon product reviews to classify them as positive, negative, or neutral using advanced NLP models. It supports input via text, CSV uploads, or direct Amazon URLs. The app cleans review data through preprocessing steps to improve accuracy. Visualizations like bar charts and word clouds help interpret sentiment trends. This enables businesses to efficiently understand customer feedback and improve their products.},
        keywords = {NLP, CSV, AMAZON URL.},
        month = {July},
        }