UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2302429


Registration ID:
509022

Page Number

e249-e254

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Title

Prediction of Star Rating Based on Deep Learning

Abstract

Abstract: The rating of an online product is a crucial indicator of how users feel about it. The rating is used by consumers to assess the superiority and calibre of an online purchase. It helps a customer to make an online purchase decision. Additionally, it enhances the producer's ability to modify the product in the future as it is being reproduced and updated. There are instances when someone would purchase a product online and then further write a text review of it without giving it a number rating, most often a star rating. To analyze their business, however, producers need to know how well the products are rated. This rating can help producers analyze their businesses and increase their revenue. In order to predict ratings based on customer text reviews, we applied some supervised machine learning techniques. We then compared the performance of the Random Forest Classifier, XGBoost, and Logistic Regression algorithms with TF-IDF Vectorizer. On the dataset titled "Grammar and Product Reviews" provided by Datafiniti, we used the aforementioned methods. We evaluated each algorithm's performance using its accuracy, precision, recall, and f1-score. The study found that the Random Forest algorithm, as well as precision, recall, and f1-scores, respectively, performed better when compared to other methods.

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"Prediction of Star Rating Based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e249-e254, February-2023, Available :http://www.jetir.org/papers/JETIR2302429.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prediction of Star Rating Based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe249-e254, February-2023, Available at : http://www.jetir.org/papers/JETIR2302429.pdf

Publication Details

Published Paper ID: JETIR2302429
Registration ID: 509022
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: e249-e254
Country: BANGALORE, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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