Pre-trained language models have achieved striking success in natural language
processing (NLP), leading to a paradigm shift from supervised learning to pre-training …

Majority of customers and manufacturers who tend to purchase and trade via e-commerce
websites primarily rely on reviews before making purchasing decisions and product …

Sentiment Analysis (SA) holds considerable significance in comprehending public
perspectives and conducting precise opinion-based evaluations, making it a prominent …

In recent years, online shopping has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …

Abstract [Introduction] Nowadays, many companies are shifting their businesses online due
to the growing trend among customers to buy and shop online, as people prefer online …

Sentiment Analysis is a branch of Natural Language Processing which intends to identify the
sentiment in the data being analyzed through polarity analysis and emotion analysis. It can …

In recent times, e-commerce has grown expeditiously. As a result, online shopping and
online product reviews are increasing, which makes it nearly impossible for companies to …

The purpose of this study is to examine a weighted hybrid recommendation approach by
utilizing the user reviews and the rating data. We provide an experimental evaluation using …

In this study, customer reviews of goods are categorized and analyzed using a web-based
tool, preserving the analyst the time and effort of reading through millions of reviews. Natural …

As e-commerce has grown in recent years, so online shopping has increased with the
number of product reviews posted online. The consumer's recommendations or complaints …