[HTML][HTML] A survey on sentiment analysis methods, applications, and challenges

M Wankhade, ACS Rao, C Kulkarni - Artificial Intelligence Review, 2022 - Springer
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Deepfake detection using deep learning methods: A systematic and comprehensive review

A Heidari, N Jafari Navimipour, H Dag… - … Reviews: Data Mining …, 2024 - Wiley Online Library
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Six human-centered artificial intelligence grand challenges

O Ozmen Garibay, B Winslow, S Andolina… - … Journal of Human …, 2023 - Taylor & Francis
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …

A review of machine learning methods applied to structural dynamics and vibroacoustic

BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

[HTML][HTML] Impact of extreme weather in production economics: Extracting evidence from user-generated content

JR Saura, S Ribeiro-Navarrete… - International Journal of …, 2023 - Elsevier
The last decade has witnessed an increase in the number of extreme weather events
globally. In addition, the economic output around the world is at all-time high in terms of …

Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis

PK Jain, W Quamer, V Saravanan… - Journal of Ambient …, 2023 - Springer
Abstract Machine learning is considered advantageous smart cities through sentiment
analysis using social media reviews. Social media reviews can be helpful inside smart cities …

[HTML][HTML] Exploring the potential of distributed computing continuum systems

PK Donta, I Murturi, V Casamayor Pujol, B Sedlak… - Computers, 2023 - mdpi.com
Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …

[HTML][HTML] Social network data analysis to highlight privacy threats in sharing data

F Cerruto, S Cirillo, D Desiato, SM Gambardella… - Journal of Big Data, 2022 - Springer
Social networks are a vast source of information, and they have been increasing impact on
people's daily lives. They permit us to share emotions, passions, and interactions with other …

Intrusion detection and prevention in fog based IoT environments: A systematic literature review

CA de Souza, CB Westphall, RB Machado, L Loffi… - Computer Networks, 2022 - Elsevier
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …

[HTML][HTML] Social media bot detection with deep learning methods: a systematic review

K Hayawi, S Saha, MM Masud, SS Mathew… - Neural Computing and …, 2023 - Springer
Social bots are automated social media accounts governed by software and controlled by
humans at the backend. Some bots have good purposes, such as automatically posting …