Sentiment analysis, a specialization of natural language processing (NLP), has witnessed
significant progress since its emergence in the late 1990s, owing to the swift advances in …

A tremendous amount of unstructured data, such as comments, opinions, and other sorts of
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …

Feature selection is an indispensable aspect of modern machine learning, especially for
high-dimensional datasets where overfitting and computational inefficiencies are common …

Text classification is a very important topic in the current era due to the high volume of
textual data and handling. Feature selection is one of the most important steps in text …

This paper describes the development and testing of a novel artificial intelligence-based
inference model for the early prediction of long-term deflection in RC beams, which is a …

Objective. Sleep staging is the basis for sleep quality assessment and diagnosis of sleep-
related disorders. In response to the inadequacy of traditional manual judgement of sleep …

Vast growth in the customers of the social media platform leads to automatic sentiment
analysis based on the review, post, profile, and comment text to characterize the emotional …

Sentiment analysis has broad use in diverse real-world contexts, particularly in the online
movie industry and other e-commerce platforms. The main objective of our work is to …

Sentiment analysis is essential to process and understand unstructured user-generated
content for better data analytics and decision-making. State-of-the-art techniques suffer from …

Social media has become an essential source of news for everyday users. However, the rise
of fake news on social media has made it more difficult for users to trust the information on …