An integrated deep learning paradigm for the analysis of document-based sentiments is
presented in this article. Generally, sentiment analysis has enormous applications in the real …

Sentiment analysis is one of the most challenging tasks in natural language processing
(NLP). The extensively used application of sentiment analysis is sentiment classification of …

With the fast popularization and continued development of web pages on the Internet, text
classification has become a very serious problem in organizing and managing large …

Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …

Microblogging websites and social media platforms serve as a potential source for mining
public opinions and sentiments on a variety of subjects including the prevailing situations in …

Cloud service providers can operate several execution instances on a single physical server
using virtualization technology, which improves resource utilization. In recent years …

The general practice of rainfall-runoff model development towards physically based and
spatially explicit representations of hydrological processes is data-intensive and …

Asteroseismology studies the physical structure of stars by analyzing their solar-type
oscillations as seismic waves and frequency spectra. The physical processes in stars and …

High-temperature forming behaviors of a 7046-aluminum alloy were investigated by hot
compression experiments. The microstructural evolution features with the changes in …

Purpose Text classification is a widely accepted and adopted technique in organizations to
mine and analyze unstructured and semi-structured data. With advancement of …