BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase.
IEEE Trans. Comput. Soc. Syst., April, 2024
Contextualized Satire Detection in Short Texts Using Deep Learning Techniques.
J. Web Eng., 2024
Financial Misinformation Detection via RoBERTa and Multi-channel Networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Fin-STance: A Novel Deep Learning-Based Multi-Task Model for Detecting Financial Stance and Sentiment.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Financial Fake News Detection via Context-Aware Embedding and Sequential Representation using Cross-Joint Networks.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023
BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection.
J. King Saud Univ. Comput. Inf. Sci., 2022
CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection.
Cogn. Comput., 2022
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network.
IEEE Access, 2022
IMFinE: An Integrated BERT-CNN-BiGRU Model for Mental Health Detection in Financial Context on Textual Data.
Proceedings of the 19th International Conference on Natural Language Processing, 2022
A Survey of Figurative Language and Its Computational Detection in Online Social Networks.
ACM Trans. Web, 2020
Self-deprecating Humor Detection: A Machine Learning Approach.
Proceedings of the Computational Linguistics, 2019
Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018