A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
Abstract
Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects. This field has attracted substantial research interest in recent years. Aspect-level (called aspect-based opinion mining) is often desired in practical applications as it provides detailed opinions or sentiments about different aspects of entities and entities themselves, which are usually required for action. Aspect extraction and entity extraction are thus two core tasks of aspect-based opinion mining. his paper has presented a framework of aspect-based opinion mining based on the concept of transfer learning. on real-world customer reviews available on the Amazon website. The model has yielded quite satisfactory results in its task of aspect-based opinion mining.
Cite
@article{arxiv.2212.10051,
title = {A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach},
author = {Subhasis Dasgupta and Jaydip Sen},
journal= {arXiv preprint arXiv:2212.10051},
year = {2022}
}
Comments
This is the accepted version of the paper that has been presented and published in the 20th IEEE Conference, OCIT'22. The final published version is copyright-protected by the IEEE. The paper consists of 5 pages, and it includes 5 figures and 1 table