Decoding Review Sentiment Analysis Model (Mainly Using Bert)

Singh, Chehakpreet Kaur,Tashi

doi:https://doi.org/10.55041/ijsmt.v2i2.002

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DECODING REVIEW SENTIMENT ANALYSIS MODEL (MAINLY USING BERT)

AUTHORS:

Chehakpreet Kaur,Tashi Singh

Mentor

Dr. Rimpy

Affiliation

UG Student, BCA, Maharaja Surajmal Institute, Delhi, India

DOI: 10.55041/ijsmt.v2i2.002

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Review Sentiment Analysis is performed so that, any business or organization can understand how their audience perceives their products or services. The study of their opinion provides them with extremely valuable information. The analysis helps in deciding where and on what aspects the organization should invest in. This paper reviews and looks over different types of methods of deep learning that can be used and expands on the BERT method. The BERT method is a deep learning model designed and used to improve the accuracy and efficiency of Natural Language Processing tasks.

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✓ All ethical standards met

This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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