Sentiment Analysis has become increasingly important in online shopping, where
consumers rely on reviews and feedback to make informed purchasing decisions. However …

This article investigates the optimization of sentiment analysis within online shopping. It
begins by outlining the inherent challenges in sentiment analysis, particularly in handling …

Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …

In the domain of online shopping, customer reviews serve as invaluable repositories of
insights, encapsulating the sentiments and experiences associated with a wide array of …

With the fastest growth of information and communication technology (ICT), the availability of
web content on social media platforms is increasing day by day. Sentiment analysis from …

Online shopping has transformed how consumers purchase products, offering convenience
and a wide range of choices. As customers increasingly rely on online platforms, the role of …

This review paper delves into the realm of sentiment analysis in e-commerce, specifically
focusing on Amazon product reviews. Leveraging a stack ensemble machine learning …

Sentiment analysis furnishes consumer concerns regarding products, enabling product
enhancement development. Existing sentiment analysis using machine learning techniques …

Sentiment analysis can assist consumers in providing clear and objective sentiment
recommendations based on large amounts of data, and it is helpful in overcoming unclear …

Rapid development in information technology and social media platforms increased the
demand for sentiment analysis and modelling. Online reviews contain information about …