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@article{155790,
        author = {Shraddha Chobhe and Jyoti Malhotra},
        title = {Recommendation System and Sentimental Analysis for Grocery Application: gApp},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1782-1787},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155790},
        abstract = {The Internet is the most powerful thing in the world. Is it possible for any of us to envisage buying groceries online and preferring online shopping? All of this is feasible because of the internet. People prefer online grocery shopping to physical shopping, according to a new survey. This affected the business, and the use of new machine learning techniques has expanded. The sentiment analysis of reviews, as well as the product recommendation tool, has changed the way people shop online. Without reading the entire review, one may get a good idea of the product. So, in this research, we looked at sentiment analysis in the context of an online grocery review and recommendation system.},
        keywords = {Machine Learning, Sentiment Analysis, Recommendation System, Online Grocery},
        month = {},
        }