Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …

Context Recent developments in requirements engineering (RE) methods have seen a
surge in using machine-learning (ML) algorithms to solve some difficult RE problems. One …

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

There is a need to extract meaningful information from big data, classify it into different
categories, and predict end-user behavior or emotions. Large amounts of data are …

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 …

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …

Text genre classification is the process of identifying functional characteristics of text
documents. The immense quantity of text documents available on the web can be properly …

Current disaster management procedures to cope with human and economic losses and to
manage a disaster's aftermath suffer from a number of shortcomings like high temporal lags …