Deep hybrid model with trained weights for multimodal sarcasm detection
Sarcasm detection is one the most challenging task in natural language processing. Though
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …
Multimodal sarcasm detection via hybrid classifier with optimistic logic
This work aims to provide a novel multimodal sarcasm detection model that includes four
stages: pre-processing, feature extraction, feature level fusion, and classification. The pre …
stages: pre-processing, feature extraction, feature level fusion, and classification. The pre …
Stance-level sarcasm detection with bert and stance-centered graph attention networks
Computational Linguistics (CL) associated with the Internet of Multimedia Things (IoMT)-
enabled multimedia computing applications brings several research challenges, such as …
enabled multimedia computing applications brings several research challenges, such as …
Sarcasm detection framework using context, emotion and sentiment features
Sarcasm detection is an essential task that can help identify the actual sentiment in user-
generated data, such as discussion forums or tweets. Sarcasm is a sophisticated form of …
generated data, such as discussion forums or tweets. Sarcasm is a sophisticated form of …
An advanced learning approach for detecting sarcasm in social media posts: Theory and solutions
PK Roy - Social Science Quarterly, 2024 - Wiley Online Library
Objective Users of social media platforms such as Facebook, Instagram, and Twitter can
view and share their daily life events through text, photographs, or videos. These platforms …
view and share their daily life events through text, photographs, or videos. These platforms …
Automated sarcasm detection and classification using hyperparameter tuned deep learning model for social networks
D Vinoth, P Prabhavathy - Expert Systems, 2022 - Wiley Online Library
In recent digital era, social media sites have been commonly used by majority of people to
generate massive quantities of textual data. Sarcasm can be treated as a kind of sentiment …
generate massive quantities of textual data. Sarcasm can be treated as a kind of sentiment …
Affective e-learning approaches, technology and implementation model: a systematic review.
MO Adebiyi, AA Adebiyi, D Olaniyan… - … Journal of Electrical …, 2024 - search.ebscohost.com
A systematic literature study including articles from 2016 to 2022 was done to evaluate the
various approaches, technologies, and implementation models involved in measuring …
various approaches, technologies, and implementation models involved in measuring …
Bimodal sentiment analysis in social media: a one-shot learning approach
With the rapid growth of social media (forums, blogs, social networks, etc.) entities like
polling organizations, advertising companies, as well as democratic organizations are …
polling organizations, advertising companies, as well as democratic organizations are …
An optimized arabic sarcasm detection in tweets using artificial neural networks
A Omar, AE Hassanien - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
This paper presents an optimized Arabic sarcasm classification model using artificial neural
networks in conjunction with particle swarm optimization. Artificial Neural Networks (ANNs) …
networks in conjunction with particle swarm optimization. Artificial Neural Networks (ANNs) …
Exploring descriptions of movement through geovisual analytics
Sensemaking using automatically extracted information from text is a challenging problem.
In this paper, we address a specific type of information extraction, namely extracting …
In this paper, we address a specific type of information extraction, namely extracting …