Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Purpose Deep learning (DL) technologies assist manufacturers to manage their business
operations. This research aims to present state-of-the-art insights on the trends and ways …

Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …

This paper presents, TextConvoNet, a novel Convolutional Neural Network (CNN) based
architecture for binary and multi-class text classification problems. Most of the existing CNN …

Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …

With the increase in the culture of social media and netizen, every day, millions of comments
are posted on the uploaded posts. The use of abusive language in user comments has been …

The Internet has seen substantial growth of regional language data in recent years. It
enables people to express their opinion by incapacitating the language barriers. Urdu is a …

Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …

The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …

Featured Application Earthquake Detection, Earthquake Early Warning System (EEWS),
Processing of Seismic data. Abstract Earthquake is a major hazard to humans, buildings …