Monali Gulhane

Work place: Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Maharashtra, Pune, India

E-mail: monaligulhane4@gmail.com

Website: https://orcid.org/0000-0001-5017-1738

Research Interests:

Biography

Monali Vijay Gulhane is a highly accomplished professional with an extensive background in the field of Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning. With 9 years and 2 months of professional experience, she currently serves as a Teaching Associate at Symbiosis Institute of Technology in Nagpur. Previously, she held the position of UGC Approved Assistant Professor in Computer Science and Engineering at Jhulelal Institute of Technology for 8 years and 7 months.

Author Articles
Blockchain Framework for Sentiment Analysis from Unstructured Text Reviews

By Pratik K. Agrawal Monali Gulhane Siddhi Kadu Pravinkumar M. Sonsare

DOI: https://doi.org/10.5815/ijieeb.2025.06.03, Pub. Date: 8 Dec. 2025

The E-commerce platform has provided the user and the organization with a new avenue for the product distribution and selling. The product distribution is greatly hampered by the opinions provided by the end user and if tampering and fake reviews are generated then it affects the product badly. The Natural language processing domain deals with the analysis of this review and provide the user with recommendation for decision making. The NLP domain deals with several issues like fake reviews, tampering with the reviews, and security for transfer of reviews etc. In this paper, a Blockchain based sentimental analysis module framework is proposed that provides the user with a secure and trustful environment for the opinions reviews as well as it provide a hybrid sentimental module that uses the algorithms from machine learning and deep learning for sentiment score generation. The Proposed Model was evaluated on different datasets of the varied domain. The proposed model performs a substantial improvement in providing the accurate results.

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