Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related …

Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …

The article presents deep learning methods applied to predict the mass of an adsorption bed
in the fixed and fluidized bed. The purpose of the application of this kind of bed is to improve …

Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …

In a general computational context for biomedical data analysis, DNA sequence
classification is a crucial challenge. Several machine learning techniques have used to …

This paper presents a comprehensive survey of the meta-heuristic optimization algorithms
on the text clustering applications and highlights its main procedures. These Artificial …