Title: Automatic summarisation of product reviews using natural language processing and machine learning methods: a literature review

Authors: Sonia Rani; Tarandeep Singh Walia

Addresses: Lovely Professional University, Phagwara, Punjab, India ' Lovely Professional University, Phagwara, Punjab, India

Abstract: Owing to the advancements in digital technologies, online shopping is trending more now. User reviews are the foremost aspect of understanding consumers' intentions about the products. These reviews benefit e-commerce companies and manufacturers to increase their products' productivity and business growth. Artificial intelligence and natural language processing methods are more helpful in extracting vital information from user reviews. This study describes the importance of automatic product review summarisation and the role of various natural language processing and machine learning methods employed to create intelligent systems. The current deep learning and transformer-based methods strongly affected to development of NLP applications. The main purpose of this study is to explore the techniques of automatic multi-document summarisation, data sets, evaluation metrics and some limitations of various researchers' studies. A comparative analysis of rule-based and machine-learning methods is also described in this study.

Keywords: abstractive; extractive; natural language processing; rule-based; machine learning; reviews summarisation; deep learning.

DOI: 10.1504/IJDMB.2022.130326

International Journal of Data Mining and Bioinformatics, 2022 Vol.27 No.1/2/3, pp.118 - 138

Received: 23 Jul 2022
Accepted: 15 Dec 2022
Published online: 17 Apr 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article