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Sarcasm Detection over Social Media Platforms Using Hybrid Ensemble Model with Fuzzy Logic
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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International Conference on Innovative Computing and Communications
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A transformer-based approach to irony and sarcasm detection
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Predicting image credibility in fake news over social media using multi-modal approach
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Computational irony: A survey and new perspectives
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Sarcasm identification in textual data: systematic review, research challenges and open directions
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BERT-LSTM model for sarcasm detection in code-mixed social media post
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CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection
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An Effective Sarcasm Detection Approach Based on Sentimental Context and Individual Expression Habits
inferredcites →https://doi.org/10.1016/j.cie.2021.107733openalex-snapshot
SiteForge: Detecting and localizing forged images on microblogging platforms using deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.ipm.2021.102599openalex-snapshot
Detecting the target of sarcasm is hard: Really??
inferredcites →https://doi.org/10.1016/j.jpsychires.2021.05.027openalex-snapshot
Change in humor and sarcasm use based on anxiety and depression symptom severity during the COVID-19 pandemic
inferredcites →https://doi.org/10.1016/j.procs.2018.10.409openalex-snapshot
Sarcasm classification: A novel approach by using Content Based Feature Selection Method
inferredcites →https://doi.org/10.1037/cep0000241openalex-snapshot
Sarcasm detection in native English and English as a second language speakers.
inferredcites →https://doi.org/10.1109/access.2019.2963630openalex-snapshot
Sarcasm Detection Using Multi-Head Attention Based Bidirectional LSTM
inferredcites →https://doi.org/10.1109/cogmi48466.2019.00025openalex-snapshot
A2Text-Net: A Novel Deep Neural Network for Sarcasm Detection
inferredcites →https://doi.org/10.1109/icces48766.2020.9137924openalex-snapshot
Machine Learning based Sarcasm Detection on Twitter Data
inferredcites →https://doi.org/10.1109/iciip53038.2021.9702561openalex-snapshot
Extracting Sentiments from YouTube Comments
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Performance Analysis of Machine Learning Algorithms in Credit Cards Fraud Detection
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Mimicking the Brain’s Cognition of Sarcasm From Multidisciplines for Twitter Sarcasm Detection
inferredcites →https://doi.org/10.1142/s0219467823500614openalex-snapshot
Sarcasm Detection: A Review, Synthesis and Future Research Agenda
inferredcites →https://doi.org/10.1145/3308558.3313735openalex-snapshot
Sarcasm Detection with Self-matching Networks and Low-rank Bilinear Pooling
inferredcites →https://doi.org/10.1145/3397271.3401183openalex-snapshot
Leveraging Transitions of Emotions for Sarcasm Detection
inferredcites →https://doi.org/10.1155/2020/2860479openalex-snapshot
Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter
inferredcites →https://doi.org/10.1162/coli_a_00336openalex-snapshot
Sarcasm Analysis Using Conversation Context
inferredcites →https://doi.org/10.1177/1470785320921779openalex-snapshot
Sarcasm detection using machine learning algorithms in Twitter: A systematic review
inferredcites →https://doi.org/10.1177/2053951720972735openalex-snapshot
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.20openalex-snapshot
Affective and Contextual Embedding for Sarcasm Detection
inferredcites →https://doi.org/10.18653/v1/d17-1050openalex-snapshot
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
inferredcites →https://doi.org/10.18653/v1/w18-6202openalex-snapshot
Deep contextualized word representations for detecting sarcasm and irony
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3390/app12147119openalex-snapshot
Hosted Cuckoo Optimization Algorithm with Stacked Autoencoder-Enabled Sarcasm Detection in Online Social Networks
inferredcites →https://doi.org/10.3390/bdcc3010017openalex-snapshot
VizTract: Visualization of Complex Social Networks for Easy User Perception
inferredcites →https://doi.org/10.3390/e23040394openalex-snapshot
Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media
inferredcites →https://doi.org/10.3390/electronics11182844openalex-snapshot
Sarcasm Detection over Social Media Platforms Using Hybrid Auto-Encoder-Based Model
inferredcites →https://doi.org/10.3390/math10050844openalex-snapshot
Intermediate-Task Transfer Learning with BERT for Sarcasm Detection
inferredcites →https://doi.org/10.48550/arxiv.1805.06413openalex-snapshot
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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