On the public citation graph

Hybrid Deep Learning Model for Sarcasm Detection in Indian Indigenous Language Using Word-Emoji Embeddings

0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-30577-2_61openalex-snapshot
Sarcasm Detection Using Feature-Variant Learning Models
inferredcites →https://doi.org/10.1007/978-3-319-69900-4_86openalex-snapshot
Harnessing Online News for Sarcasm Detection in Hindi Tweets
inferredcites →https://doi.org/10.1007/978-3-319-99740-7_12openalex-snapshot
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
inferredcites →https://doi.org/10.1007/978-981-15-1451-7_44openalex-snapshot
The Multifaceted Concept of Context in Sentiment Analysis
inferredcites →https://doi.org/10.1007/s00530-020-00661-wopenalex-snapshot
D-BullyRumbler: a safety rumble strip to resolve online denigration bullying using a hybrid filter-wrapper approach
inferredcites →https://doi.org/10.1007/s00530-020-00672-7openalex-snapshot
Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data
inferredcites →https://doi.org/10.1007/s11042-020-08904-8openalex-snapshot
A Computationally Efficient and Scalable Key Management Scheme for Access Control of Media Delivery in Digital Pay-TV Systems
inferredcites →https://doi.org/10.1007/s11042-021-11262-8openalex-snapshot
Contextual semantics using hierarchical attention network for sentiment classification in social internet-of-things
inferredcites →https://doi.org/10.1007/s12559-018-9578-5openalex-snapshot
Detection of Sarcasm and Nastiness: New Resources for Spanish Language
inferredcites →https://doi.org/10.1007/s12652-019-01419-7openalex-snapshot
Empirical study of shallow and deep learning models for sarcasm detection using context in benchmark datasets
inferredcites →https://doi.org/10.1016/j.asoc.2020.106198openalex-snapshot
Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN
inferredcites →https://doi.org/10.1016/j.ipm.2019.102141openalex-snapshot
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
inferredcites →https://doi.org/10.1016/j.patcog.2017.10.013openalex-snapshot
Recent advances in convolutional neural networks
inferredcites →https://doi.org/10.1016/j.physa.2016.01.015openalex-snapshot
What is India speaking? Exploring the “Hinglish” invasion
inferredcites →https://doi.org/10.1109/access.2019.2899260openalex-snapshot
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
inferredcites →https://doi.org/10.1109/icacsis.2013.6761575openalex-snapshot
Indonesian social media sentiment analysis with sarcasm detection
inferredcites →https://doi.org/10.1109/icapr42361.2017openalex-snapshot
2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)
inferredcites →https://doi.org/10.1109/icdm.2016.0055openalex-snapshot
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
inferredcites →https://doi.org/10.1109/mci.2019.2954667openalex-snapshot
How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]
inferredcites →https://doi.org/10.1109/mis.2013.30openalex-snapshot
New Avenues in Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1109/mis.2019.2904691openalex-snapshot
Sentiment and Sarcasm Classification With Multitask Learning
inferredcites →https://doi.org/10.1145/2808797.2808910openalex-snapshot
Parsing-based Sarcasm Sentiment Recognition in Twitter Data
inferredcites →https://doi.org/10.1145/2964284.2964321openalex-snapshot
Detecting Sarcasm in Multimodal Social Platforms
inferredcites →https://doi.org/10.1145/3124420openalex-snapshot
Automatic Sarcasm Detection
inferredcites →https://doi.org/10.1145/3461764openalex-snapshot
Sentiment Analysis Using XLM-R Transformer and Zero-shot Transfer Learning on Resource-poor Indian Language
inferredcites →https://doi.org/10.1155/2021/2939334openalex-snapshot
Explainable Artificial Intelligence for Sarcasm Detection in Dialogues
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.18653/v1/d13-1openalex-snapshot
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d15-1116openalex-snapshot
Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words
inferredcites →https://doi.org/10.18653/v1/d16-1104openalex-snapshot
Are Word Embedding-based Features Useful for Sarcasm Detection?
inferredcites →https://doi.org/10.18653/v1/d17-1169openalex-snapshot
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
inferredcites →https://doi.org/10.18653/v1/k16-1015openalex-snapshot
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'
inferredcites →https://doi.org/10.18653/v1/p19-1455openalex-snapshot
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
inferredcites →https://doi.org/10.18653/v1/w16-0425openalex-snapshot
Fracking Sarcasm using Neural Network
inferredcites →https://doi.org/10.18653/v1/w16-6208openalex-snapshot
emoji2vec: Learning Emoji Representations from their Description
inferredcites →https://doi.org/10.18653/v1/w19-4328openalex-snapshot
Effective Dimensionality Reduction for Word Embeddings
inferredcites →https://doi.org/10.2174/2213275912666190409152308openalex-snapshot
Deep Learning Based Sentiment Classification on User-Generated Big Data
inferredcites →https://doi.org/10.3115/v1/p15-2124openalex-snapshot
Harnessing Context Incongruity for Sarcasm Detection
inferredcites →https://doi.org/10.5121/ijnlc.2018.7507openalex-snapshot
Sarcasm as a Contradiction Between a Tweet and its Temporal Facts : A Pattern Based Approach
inferredcites →https://doi.org/10.56042/bvaap.v29i1.68152openalex-snapshot
Performance evaluation of machine learning algorithms for detecting Hindi sarcasm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-88988-2_4openalex-snapshot
Introduction to NLP in Finance: Sentiment Analysis and Risk Management
inferred← citeshttps://doi.org/10.1007/978-3-032-22059-2_12openalex-snapshot
Enhancing Sarcasm Detection with Emoji Semantics and Transformer Architectures
inferred← citeshttps://doi.org/10.1007/978-981-96-0147-9_12openalex-snapshot
Enhancing Telugu Sarcasm Classification Models with Word Embeddings in Imbalanced Datasets
inferred← citeshttps://doi.org/10.1007/978-981-96-5010-1_4openalex-snapshot
Optimizing Sarcasm Detection in Assamese Using State-of-the-Art Transformer Model
inferred← citeshttps://doi.org/10.1007/978-981-97-9045-6_24openalex-snapshot
Sarcasm Detection in Breaking News: Evaluating Official and Satirical Headlines
inferred← citeshttps://doi.org/10.1007/978-981-99-3716-5_57openalex-snapshot
ByaktitbaNet: Deep Neural Network for Personality Detection in Bengali Conversational Data
inferred← citeshttps://doi.org/10.1007/978-981-99-7962-2_15openalex-snapshot
Sarcasm Detection for Marathi and the role of emoticons
inferred← citeshttps://doi.org/10.1007/s11042-024-19672-0openalex-snapshot
A hybrid convolutional neural network for sarcasm detection from multilingual social media posts
inferred← citeshttps://doi.org/10.1007/s41870-024-02361-4openalex-snapshot
Dictionary-based extraction of hyperbole and swear words for sarcasm detection in Indonesian Tweets
inferred← citeshttps://doi.org/10.1016/j.procs.2026.07.053openalex-snapshot
A narrative literature review of social information systems in supporting the revitalization of endangered languages
inferred← citeshttps://doi.org/10.1109/aece62803.2024.10911378openalex-snapshot
Sarcasm Detection in X Data Using Node Embedding and Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/ccpis65231.2025.11233882openalex-snapshot
Emoji-Aware Deep Learning Framework for Sarcasm Detection in Social Media
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10306775openalex-snapshot
Sarcasm Detection in Telugu and Tamil: An Exploration of Machine Learning and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/icimia60377.2023.10426427openalex-snapshot
Enriched Glove of Word Embedding and BERT of Contextual Embedding in Sarcasm Detection with AdaGrad Optimization Technique
inferred← citeshttps://doi.org/10.1109/icitisee57756.2022.10057720openalex-snapshot
A Hybrid CNN-LSTM Model With Word-Emoji Embedding For Improving The Twitter Sentiment Analysis on Indonesia's PPKM Policy
inferred← citeshttps://doi.org/10.1109/icscsa66339.2025.11170730openalex-snapshot
Hybrid Deep Learning Model for Accurate Detection of Irony and Sarcasm from Twitter Dataset
inferred← citeshttps://doi.org/10.1109/icstsn61422.2024.10671235openalex-snapshot
Harnessing Advanced Learning for Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/robothia68364.2026.11507060openalex-snapshot
Examining the Role of Facial and Gesture Emojis in Context-Aware Sarcasm Detection
inferred← citeshttps://doi.org/10.1111/exsy.13686openalex-snapshot
A novel transformer attention‐based approach for sarcasm detection
inferred← citeshttps://doi.org/10.1145/3600229openalex-snapshot
Deep Ensemble Network for Sentiment Analysis in Bi-lingual Low-resource Languages
inferred← citeshttps://doi.org/10.1145/3714469openalex-snapshot
Sarcasm Identification and Classification in Hindi Newspaper Headlines
inferred← citeshttps://doi.org/10.1145/3786586openalex-snapshot
Sarcasm Detection in Arabic Short Text: A Novel Approach Leveraging Pre-trained Language Models and Addressing the Data Imbalance Problem
inferred← citeshttps://doi.org/10.1177/18724981251384966openalex-snapshot
Entropy regularised multi-granular parallel attention framework: An interpretable approach for sarcasm detection
inferred← citeshttps://doi.org/10.17762/ijritcc.v10i2s.5942openalex-snapshot
Sarcasm Detection on Text for Political Domain— An Explainable Approach
inferred← citeshttps://doi.org/10.32628/cseit251143openalex-snapshot
A Lightweight Deep Learning Framework using Resource-Efficient Batch Normalization for Sarcasm Detection
inferred← citeshttps://doi.org/10.32985/ijeces.15.1.7openalex-snapshot
A Survey of Sentiment Analysis and Sarcasm Detection
inferred← citeshttps://doi.org/10.3389/fcomp.2024.1486581openalex-snapshot
The role of cognitive computing in NLP
inferred← citeshttps://doi.org/10.3390/app13095586openalex-snapshot
Deep Learning for Sarcasm Identification in News Headlines
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.