[HTML][HTML] Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media
D Olaniyan, RO Ogundokun, OP Bernard, J Olaniyan… - Computers, 2023 - mdpi.com
Sarcasm and irony represent intricate linguistic forms in social media communication,
demanding nuanced comprehension of context and tone. In this study, we propose an …
demanding nuanced comprehension of context and tone. In this study, we propose an …
A hybrid convolutional neural network for sarcasm detection from multilingual social media posts
Sarcasm in social media postings significantly impacts automated sentiment extraction due
to its potential to invert the overall polarity of phrases. It poses a formidable challenge in …
to its potential to invert the overall polarity of phrases. It poses a formidable challenge in …
Sarcasm detection using soft attention-based bidirectional long short-term memory model with convolution network
A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …
and social networks, with the aim of understanding, discovering insights, and exploiting the …
[HTML][HTML] Interpretable multi-head self-attention architecture for sarcasm detection in social media
With the online presence of more than half the world population, social media plays a very
important role in the lives of individuals as well as businesses alike. Social media enables …
important role in the lives of individuals as well as businesses alike. Social media enables …
Bi-ISCA: Bidirectional Inter-Sentence Contextual Attention Mechanism for Detecting Sarcasm in User Generated Noisy Short Text
Many online comments on social media platforms are hateful, humorous, or sarcastic. The
sarcastic nature of these comments (especially the short ones) alters their actual implied …
sarcastic nature of these comments (especially the short ones) alters their actual implied …
Sarcasm detection of media text using deep neural networks
O Ajnadkar - … Intelligence and Machine Learning: Proceedings of the …, 2021 - Springer
Sarcasm detection in media text is a binary classification task where text can be either
written straightly or sarcastically (with irony) where the intended meaning is the opposite of …
written straightly or sarcastically (with irony) where the intended meaning is the opposite of …
Comparison of Different Deep Learning Approaches to Arabic Sarcasm Detection
Irony and Sarcasm Detection (ISD) is a crucial task for many NLP applications, especially
sentiment and opinion mining. It is also considered a challenging task even for humans …
sentiment and opinion mining. It is also considered a challenging task even for humans …
Detection of Sarcasm in Urdu Tweets using Deep Learning and Transformer based Hybrid Approaches
Sarcasm has a significant role in human communication especially on social media
platforms where users express their sentiments through humor, satire, and criticism. The …
platforms where users express their sentiments through humor, satire, and criticism. The …
Sarcasm Identification in text with deep learning models and Glove word embedding
G Chandrasekaran, DJ Hemanth… - 2022 International …, 2022 - ieeexplore.ieee.org
In social media, sarcasm is frequently found to convey a negative opinion employing
positive or exaggerated positive terms. Sarcasm is necessary for and advantageous for …
positive or exaggerated positive terms. Sarcasm is necessary for and advantageous for …
[HTML][HTML] Enhanced semantic representation learning for sarcasm detection by integrating context-aware attention and fusion network
S Hao, J Yao, C Shi, Y Zhou, S Xu, D Li, Y Cheng - Entropy, 2023 - mdpi.com
Sarcasm is a sophisticated figurative language that is prevalent on social media platforms.
Automatic sarcasm detection is significant for understanding the real sentiment tendencies …
Automatic sarcasm detection is significant for understanding the real sentiment tendencies …