A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
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 …

Sarcasm identification in textual data: systematic review, research challenges and open directions

CI Eke, AA Norman, L Shuib, HF Nweke - Artificial Intelligence Review, 2020 - Springer
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

[HTML][HTML] BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection

S Khan, M Fazil, VK Sejwal, MA Alshara… - Journal of King Saud …, 2022 - Elsevier
Online social networks (OSNs) face the challenging problem of hate speech, which should
be moderated for the growth of OSNs. The machine learning approaches dominate the …

A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations

Y Zhang, J Wang, Y Liu, L Rong, Q Zheng, D Song… - Information …, 2023 - Elsevier
Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

HCovBi-caps: hate speech detection using convolutional and Bi-directional gated recurrent unit with Capsule network

S Khan, A Kamal, M Fazil, MA Alshara, VK Sejwal… - IEEE …, 2022 - ieeexplore.ieee.org
Adversaries and anti-social elements have exploited the rapid proliferation of computing
technology and online social media in the form of novel security threats, such as fake …

CFN: a complex-valued fuzzy network for sarcasm detection in conversations

Y Zhang, Y Liu, Q Li, P Tiwari, B Wang… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …

Cat-bigru: Convolution and attention with bi-directional gated recurrent unit for self-deprecating sarcasm detection

A Kamal, M Abulaish - Cognitive computation, 2022 - Springer
Sarcasm detection has been a well-studied problem for the computational linguistic
researchers. However, research related to different categories of sarcasm has still not …

A survey of figurative language and its computational detection in online social networks

M Abulaish, A Kamal, MJ Zaki - ACM Transactions on the Web (TWEB), 2020 - dl.acm.org
The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …

An intelligent machine learning-based sarcasm detection and classification model on social networks

D Vinoth, P Prabhavathy - The Journal of Supercomputing, 2022 - Springer
Due to the exponential increase in Internet usage, sarcasm detection has gained significant
attention in online social networking platforms. Sarcasm is a linguistic expression of dislikes …

[HTML][HTML] Arabic sarcasm detection: An enhanced fine-tuned language model approach

MA Galal, AH Yousef, HH Zayed, W Medhat - Ain Shams Engineering …, 2024 - Elsevier
Sarcasm is a complex linguistic phenomenon involving humor, criticism, or phrases that
convey the opposite meaning, mask true feelings, and play pivotal roles in various aspects …