Automatic sarcasm detection: A survey

A Joshi, P Bhattacharyya, MJ Carman - ACM Computing Surveys (CSUR …, 2017 - dl.acm.org
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …

Sarcasm identification in textual data: systematic review, research challenges and open directions

CI Eke, AA Norman, L Shuib, HF Nweke - Artificial Intelligence Review, 2020 - Springer
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

A pattern-based approach for sarcasm detection on twitter

M Bouazizi, TO Ohtsuki - IEEE Access, 2016 - ieeexplore.ieee.org
Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …

Detecting sarcasm in multimodal social platforms

R Schifanella, P De Juan, J Tetreault… - Proceedings of the 24th …, 2016 - dl.acm.org
Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from
the implied sentiment. The detection of sarcasm in social media platforms has been applied …

BERT-LSTM model for sarcasm detection in code-mixed social media post

R Pandey, JP Singh - Journal of Intelligent Information Systems, 2023 - Springer
Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …

Sarcasm analysis using conversation context

D Ghosh, AR Fabbri, S Muresan - Computational Linguistics, 2018 - direct.mit.edu
Computational models for sarcasm detection have often relied on the content of utterances
in isolation. However, the speaker's sarcastic intent is not always apparent without additional …

A report on the 2020 sarcasm detection shared task

D Ghosh, A Vajpayee, S Muresan - arxiv preprint arxiv:2005.05814, 2020 - arxiv.org
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments
and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in …

Stance-level sarcasm detection with bert and stance-centered graph attention networks

Y Zhang, D Ma, P Tiwari, C Zhang, M Masud… - ACM Transactions on …, 2023 - dl.acm.org
Computational Linguistics (CL) associated with the Internet of Multimedia Things (IoMT)-
enabled multimedia computing applications brings several research challenges, such as …

Context-augmented convolutional neural networks for twitter sarcasm detection

Y Ren, D Ji, H Ren - Neurocomputing, 2018 - Elsevier
Sarcasm detection on twitter has received increasing research in recent years. However,
existing work has two limitations. First, existing work mainly uses discrete models, requiring …

A survey of figurative language and its computational detection in online social networks

M Abulaish, A Kamal, MJ Zaki - ACM Transactions on the Web (TWEB), 2020 - dl.acm.org
The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …