Sarcasm detection using deep learning with contextual features

QR Code

Sarcasm detection using deep learning with contextual features

Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features. A feature set is extracted from a Convolutional Neural Network (CNN) architecture before it is combined with carefully handcrafted feature sets. These handcrafted fea...

Full description

Bibliographic Details
Main Authors:	Razali, Md Saifullah, Doraisamy, Shyamala, Abdul Halin, Alfian, Lei, Ye, Mohd Norowi, Noris
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/95009/ http://psasir.upm.edu.my/id/eprint/95009/1/Sarcasm%20detection%20using%20deep%20learning%20with%20contextual%20features.pdf

Similar Items

The importance of multimodality in sarcasm detection for sentiment analysis
by: Razali, Md Saifullah, et al.
Published: (2017)

Context-driven satire detection with deep learning
by: Razali, Md Saifullah, et al.
Published: (2022)

Deep learning metaphor detection with emotion-cognition association
by: Razali, Md Saifullah, et al.
Published: (2022)

Figurative language detection using deep and contextual features
by: Razali, Md Saifullah
Published: (2023)

Automatic object segmentation using perceptual grouping of regions with contextual constraints
by: Zand, Mohsen, et al.
Published: (2015)

A study on feature selection and classification techniques for automatic genre classification of traditional Malay music
by: Doraisamy, Shyamala, et al.
Published: (2008)

Sarcasm and emoticons: comprehension and emotional impact
by: Filik, Ruth, et al.
Published: (2015)

Multi-feature fusion framework for automatic sarcasm identification in Twitter data / Christopher Ifeanyi Eke
by: Christopher , Ifeanyi Eke
Published: (2021)

Improvement of Automatic Genre Classification System for Traditional Malaysian Music Using Beat Features
by: Mohd. Norowi, Noris
Published: (2007)

Fire-net: a deep learning framework for active forest fire detection
by: Seydi, Seyd Teymoor, et al.
Published: (2022)

Sarcasm detection model based on tweets’ strength using hashtags and non-hashtags sentiment analysis
by: Nadali, Samaneh
Published: (2016)

Sarcasm in written communication: emoticons are efficient markers of intention
by: Thompson, Dominic, et al.
Published: (2016)

Examining the emotional impact of sarcasm using a virtual environment
by: Pickering, Bethany, et al.
Published: (2018)

Socio-cultural Factors and Individual Differences in Sarcasm Interpretation and Use
by: Zhu, Ning
Published: (2024)

Detection of compressed DeepFake video drawbacks and technical developments
by: Humidan, Amna-Saga, et al.
Published: (2022)

Studying the online comprehension of written sarcasm: an eye-tracking investigation
by: Turcan, Alexandra
Published: (2016)

Soccer event detection via collaborative multimodal feature analysis and candidate ranking
by: Abdul Halin, Alfian, et al.
Published: (2013)

Aerial imagery paddy seedlings inspection using deep learning
by: Anuar, Mohamed Marzhar, et al.
Published: (2022)

An eye-tracking investigation of written sarcasm comprehension: the roles of familiarity and context
by: Turcan, Alexandra, et al.
Published: (2016)

Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
by: Mohd Norowi, Noris, et al.
Published: (2005)

Ontology-based semantic image segmentation using mixture models and multiple CRFs
by: Zand, Mohsen, et al.
Published: (2016)

Texture classification and discrimination for region-based image retrieval
by: Zand, Mohsen, et al.
Published: (2015)

Visual and semantic context modeling for scene-centric image annotation
by: Zand, Mohsen, et al.
Published: (2015)

Texture classification and discrimination for region-based image retrieval
by: Zand, Mohsen, et al.
Published: (2015)

Segmentation and classification of skin cancer diseases based on deep learning: challenges and future directions
by: Dira Khalaf, Abdulrahman, et al.
Published: (2025)

Ensemble deep learning for tuberculosis detection
by: Ahmad Hijazi, Mohd Hanafi, et al.
Published: (2020)

MS-Net: multi-segmentation network for the Iris region using deep learning in an unconstrained environment
by: Malgheet, Jasem Rahman, et al.
Published: (2023)

Content-based feature fusion representation for marine invertebrates
by: Mustaffa, Mas Rina, et al.
Published: (2020)

Traditional Malay musical genre classification: machine versus human / Noris Mohd Norowi ... [et al.]
by: Mohd Norowi, Noris, et al.
Published: (2015)

Food category recognition using SURF and MSER local feature representation
by: Razali, Mohd Norhisham, et al.
Published: (2017)

The role of defaultness and personality factors in sarcasm interpretation: evidence from eye-tracking during reading
by: Filik, Ruth, et al.
Published: (2018)

Recognition of food with monotonous appearance using speeded-up robust feature (SURF)
by: Razali, Mohd Norhisham, et al.
Published: (2018)

Vehicle Detection in Deep Learning
by: Teoh, Per Nian
Published: (2019)

Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
by: Halin, Alfian Abdul
Published: (2011)

Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
by: Hormozi, Shahram Golzari, et al.
Published: (2008)

Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review
by: Nuhu Ahmad, Abdulhafiz, et al.
Published: (2024)

Distributed denial of service attack Detection in IoT networks using deep learning and feature fusion : A review
by: Nuhu Ahmad, Abdul hafiz, et al.
Published: (2024)

Content-based image retrieval using colour and shape fused features
by: Mustaffa, Mas Rina, et al.
Published: (2013)

Plant disease detection using deep learning
by: Cheng, Jung Yin
Published: (2024)

Deep learning for face detection using matlab
by: Slim, Salim Adnan
Published: (2020)