Summarization of Unstructured Text Reviews for Opinion Analysis in Blockchain Secure Framework

Abstract

The E-commerce platform has provided the user and the organization with a new avenue for product distribution and selling. Product distribution is greatly hampered by the opinions provided by the end user, and if tampering and fake reviews are generated, it affects the product badly. The natural language processing domain deals with the analysis of this review and provides the user with recommendations for decision-making. The NLP domain deals with issues like fake reviews, tampering with the reviews, security for transferring thoughts, etc. This paper proposes a blockchain-based sentimental analysis module framework that provides the user with a secure and trustful environment for opinion reviews and 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 domains. The proposed model performs a substantial improvement in providing accurate results.