This study presents an advanced data augmentation framework to enhance fault diagnostics
in industrial centrifugal pumps using vibration data. The proposed framework addresses the …

Sentiment Analysis (SA) is a crucial task in understanding public opinions and perceptions
towards emerging technologies. In this study, we focus on SA for a self-driving car dataset as …

The selection of discriminative terms from large quantity of terms in text documents is helpful
for achieving better accuracy of text classification. To focus on the task of selecting …

The demand for analysing sentiment information in social media data is increasing.
However, current fine-grained sentiment analysis methods fail to consider both global and …

This document is a summary of a special issue of the journal Applied Sciences on the
applications of artificial intelligence (AI) on social media. The document highlights the rapid …

This study presents an advanced data augmentation framework to enhance diagnostics in
centrifugal pumps using vibration data, with a focus on practical industrial applications …

Semantic relations between words in a sentence are identified using a technique called
dependency parsing. Algorithms called dependency parsers are used to map the words in a …

Accepted: 1 April 2023 Forecasting and pattern recognition are increasingly important in
unpredictable of the stock market. No system can consistently deliver correct predictions; …

Sentimental analysis is a method for distinguishing proof of articulation, mentality, or
sensations of clients. It characterized as bad, positive, good, ominous, and so on from a …

Objectives: This research paper aims to analyze sentiment and opinions in online resources
like discussion forums, review sites, and blogs. It also compares the effectiveness of three …