Sentiment analysis is the process of recognizing positive or negative attitudes in text. This
technique makes use of computational linguistics, text analysis, and natural language …

Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

Twitter has emerged as a platform that produces new data every day through its users which
can be utilized for various purposes. People express their unique ideas and views on …

This research paper presents a novel approach for recommending products to customers
based on their cared aspects by performing sentiment analysis on customer feedback. The …

Social commerce is a digital and efficient solution to transform existing commerce and
address contemporary issues. TikTok Shop, a popular and trending social commerce …

Social media platforms, such as X (Twitter), contain enormous amounts of data, and
collecting valuable information from that data assists in making more informed decisions. In …

Mental health disorders can affect a person's emotions and behavior and can impact their
health and daily activities. The most serious consequence of poor mental health is death by …

Abstract Machine learning techniques are often used for sports analytics, such as player
health prediction and avoidance, appraisal of prospective skill or market worth, and …

This research proposes a model approach that uses leverage contextual embedding with
Convolutional Neural Networks (CNN) in the context of sentiment analysis. The use of …

Twitter provides a rich field for open human conversation, yet it also attracts many fully
automated or partially automated accounts" disguised" as human users. These accounts …