Improving sentiment analysis for social media applications using an ensemble deep learning language model

A Alsayat - Arabian Journal for Science and Engineering, 2022 - Springer
As data grow rapidly on social media by users' contributions, specially with the recent
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …

An application to detect cyberbullying using machine learning and deep learning techniques

M Raj, S Singh, K Solanki, R Selvanambi - SN computer science, 2022 - Springer
Nowadays, a lot of people indulge themselves in the world of social media. With the current
pandemic scenario, this engagement has only increased as people often rely on social …

Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning

FRS Nascimento, GDC Cavalcanti… - Expert Systems with …, 2022 - Elsevier
Hate speech on online social media platforms is now at a level that has been considered a
serious concern by governments, media outlets, and scientists, especially because it is …

A multi-scale feature extraction fusion model for human activity recognition

C Zhang, K Cao, L Lu, T Deng - Scientific Reports, 2022 - nature.com
Abstract Human Activity Recognition (HAR) is an important research area in human–
computer interaction and pervasive computing. In recent years, many deep learning (DL) …

Detection of bangla hate comments and cyberbullying in social media using nlp and transformer models

MIH Emon, KN Iqbal, MHK Mehedi… - … on Advances in …, 2022 - Springer
Hate speech and cyberbullying detection on social media is one of the most trending natural
language processing tasks in the current scenario. However, due to the lack of resources, a …

Selecting and combining complementary feature representations and classifiers for hate speech detection

RMO Cruz, WV de Sousa, GDC Cavalcanti - Online Social Networks and …, 2022 - Elsevier
Hate speech is a major issue in social networks due to the high volume of data generated
daily. Recent works demonstrate the usefulness of machine learning (ML) in dealing with the …

Deep-Cov19-Hate: A textual-based novel approach for automatic detection of hate speech in online social networks throughout COVID-19 with shallow and deep …

C Baydogan - Tehnički vjesnik, 2022 - hrcak.srce.hr
Sažetak The use of various online social media platforms rising day by day caused an
increase in the correct or incorrect information shared by users, especially during COVID-19 …

Enhanced seagull optimization with natural language processing based hate speech detection and classification

Y Asiri, HT Halawani, HM Alghamdi… - Applied Sciences, 2022 - mdpi.com
Hate speech has become a hot research topic in the area of natural language processing
(NLP) due to the tremendous increase in the usage of social media platforms like Instagram …

How to detect online hate towards migrants and refugees? Developing and evaluating a classifier of racist and xenophobic hate speech using shallow and deep …

C Arcila-Calderón, JJ Amores, P Sánchez-Holgado… - Sustainability, 2022 - mdpi.com
Hate speech spreading online is a matter of growing concern since social media allows for
its rapid, uncontrolled, and massive dissemination. For this reason, several researchers are …

A Survey on Detecting and Preventing Hateful Comments on Social Media Using Deep Learning

I Karthika, G Boomika, R Nisha, M Shalini… - IOT with Smart Systems …, 2022 - Springer
Freedom is that the right that is expressed by everybody. However, under the guise of free
speech, this privilege is being abused to discriminate against and harm others, either …