Role of Artificial Intelligence in Online Education: A Systematic Mapping Study

R Shafique, W Aljedaani, F Rustam, E Lee… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) comprises various sub-fields, including machine learning (ML) and
deep learning (DL) perform a key role in the transformation of many industries, including …

Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: opportunities, challenges, and future trends

W Aljedaani, E Saad, F Rustam, I de la Torre Díez… - Mathematics, 2022 - mdpi.com
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …

Twitter sentiment analysis using hybrid gated attention recurrent network

N Parveen, P Chakrabarti, BT Hung, A Shaik - Journal of Big Data, 2023 - Springer
Sentiment analysis is the most trending and ongoing research in the field of data mining.
Nowadays, several social media platforms are developed, among that twitter is a significant …

Machine learning based automatic hate speech recognition system

P William, R Gade, R esh Chaudhari… - … computing and data …, 2022 - ieeexplore.ieee.org
Social media and knowledge sharing have had a positive impact on humanity. However, this
has also led to a number of issues, such as the dissemination and dissemination of hate …

Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks

B Natarajan, R Elakkiya - Soft Computing, 2022 - Springer
The recent advancements of unsupervised deep generative models have produced
incredible results in image and video generation tasks. However, existing approaches still …

Transfer learning convolutional neural network with modified Lion optimization for multimodal biometric system

A Gona, M Subramoniam, R Swarnalatha - Computers and Electrical …, 2023 - Elsevier
Recently, biometric verification systems have been widely used in security applications with
multi-level authentication. Existing machine learning approaches were utilized to develop …

[PDF][PDF] Social media sentiment analysis using convolutional neural network (CNN) dan gated recurrent unit (GRU)

AZR Adam, EB Setiawan - Jurnal Ilmiah Teknik Elektro Komputer …, 2023 - researchgate.net
The advancing technologies are aimed to maximize human performance. One of the great
developments in technology is social media. The social media used in this study is Twitter …

Feature extraction and classification efficiency analysis using machine learning approach for speech signal

MK Singh - Multimedia Tools and Applications, 2024 - Springer
The problem of classification efficiency analysis in speech signals for speaker identification
using a machine learning approach has been a challenge for several years. The …

Sentimental analysis on student feedback using NLP & POS tagging

R Nandakumar, MS Pallavi… - … conference on edge …, 2022 - ieeexplore.ieee.org
Sentiment analysis has been extensively used in a variety of fields in the previous decade,
including business, social media, and education. The usage of sentiment analysis is rising …

Sentiment Analysis using deep learning for use in recommendation systems of various public media applications

K Arava, RSK Chaitanya, S Sikindar… - … on Electronics and …, 2022 - ieeexplore.ieee.org
Sentiment Analysis is a method of analyzing text and extracting opinions from it. It's also
known as emotion or opinion extraction, and it's part of the machine learning as well as data …