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 …
[HTML][HTML] Friend or Fiend? Disentangling Upward Humor's (De) Stabilizing Effects on Hierarchies
Humor research in organizations focuses on leaders' humor, but we know far less about
followers' humor. Here, we review and synthesize the scattered work on this “upward …
followers' humor. Here, we review and synthesize the scattered work on this “upward …
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 …
What if ground truth is subjective? personalized deep neural hate speech detection
A unified gold standard commonly exploited in natural language processing (NLP) tasks
requires high inter-annotator agreement. However, there are many subjective problems that …
requires high inter-annotator agreement. However, there are many subjective problems that …
Computational humor recognition: a systematic literature review
A Kalloniatis, P Adamidis - Artificial Intelligence Review, 2024 - Springer
Computational humor recognition is considered to be one of the hardest tasks in natural
language processing (NLP) since humor is such a particularly complex emotion. There are …
language processing (NLP) since humor is such a particularly complex emotion. There are …
Humor appreciation can be predicted with machine learning techniques
H Rosenbusch, T Visser - Scientific Reports, 2023 - nature.com
Humor research is supposed to predict whether something is funny. According to its theories
and observations, amusement should be predictable based on a wide variety of variables …
and observations, amusement should be predictable based on a wide variety of variables …
A survey of automatic sarcasm detection: Fundamental theories, formulation, datasets, detection methods, and opportunities
W Chen, F Lin, G Li, B Liu - Neurocomputing, 2024 - Elsevier
Sarcasm prevalent in social media poses challenges for sentiment analysis applications by
flipping polarity, thus increasing the demand for sarcasm detection. In this article, we present …
flipping polarity, thus increasing the demand for sarcasm detection. In this article, we present …
DeepHumor: a novel deep learning framework for humor detection
The automation of humor detection is a complex task due to the semantic structure of the
textual content. In this paper, an automatic humor detection model named as DeepHumor is …
textual content. In this paper, an automatic humor detection model named as DeepHumor is …
Multi-modal humor segment prediction in video
Z Yang, Y Nakashima, H Takemura - Multimedia Systems, 2023 - Springer
Humor can be induced by various signals in the visual, linguistic, and vocal modalities
emitted by humans. Finding humor in videos is an interesting but challenging task for an …
emitted by humans. Finding humor in videos is an interesting but challenging task for an …