A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
Multi-input CNN-GRU based human activity recognition using wearable sensors
Abstract Human Activity Recognition (HAR) has attracted much attention from researchers in
the recent past. The intensification of research into HAR lies in the motive to understand …
the recent past. The intensification of research into HAR lies in the motive to understand …
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 …
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
A Sarkar, SKS Hossain, R Sarkar - Neural Computing and Applications, 2023 - Springer
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
Online hate speech
AA Siegel - Social media and democracy: The state of the field …, 2020 - books.google.com
Once relegated to the dark corners of the Internet, online hate speech has become
increasingly visible on mainstream social media platforms. From targeted anti-Semitic …
increasingly visible on mainstream social media platforms. From targeted anti-Semitic …
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 …
pandemic scenario, this engagement has only increased as people often rely on social …
Fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users' comments
Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …
spread of fake news on social networks has become a serious global issue, damaging many …
Twitter hate speech detection: A systematic review of methods, taxonomy analysis, challenges, and opportunities
Hate speech detection has substantially increased interest among researchers in the
domain of natural language processing (NLP) and text mining. The number of studies on this …
domain of natural language processing (NLP) and text mining. The number of studies on this …
A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …
global affairs. However, fake news appears and spreads on social media daily. This …