A review of the trends and challenges in adopting natural language processing methods for education feedback analysis
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 …
business and research domains. Machine learning, deep learning, and natural language …
Sarcasm identification in textual data: systematic review, research challenges and open directions
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 …
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
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 …
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
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 …
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
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 …
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
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
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 …
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
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 …
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 …
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
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 …
convey the opposite meaning, mask true feelings, and play pivotal roles in various aspects …