INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the era of online shopping, product reviews have gained immense significance as a determining factor in the consumer's decision-making process. Customers heavily rely on reviews to assess the quality and dependability of products prior to making a purchase. This study proposes a recommendation system for Amazon electronics products that incorporates ML algorithms, including XGBoost, logistic regression, CatBoost. The dataset used here in this project consists of Amazon electronics reviews obtained from Jmcauley's website, which includes reviews, ratings, product title, product id and reviewer details. The system applies these algorithms to classify reviews as negative or positive and recommends products depending on sentiment score of positive reviews. The algorithms underwent training using a preprocessed dataset, and their performance was assessed by evaluating their accuracy using a separate testing dataset. Findings revealed that XGBoost yielded the highest accuracy, achieving 86.42%, followed by CatBoost which yielded the accuracy of 85.3% and logistic regression gave an accuracy of 84.8%.
"Product Recommendation Based On Sentiment Analysis Of Genuine Reviews ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d49-d53, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305307.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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