A fuzzy approach for sarcasm detection in social networks-Reference-Cited by-同舟云学术

A fuzzy approach for sarcasm detection in social networks

Published:2021 Issue: Volume:192 Page:602-611
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Meriem Amina Ben,Hlaoua Lobna,Romdhane Lotfi Ben

Publisher

Elsevier BV

Subject

General Engineering

Reference38 articles.

1. Ramya Akula and Ivan Garibay. 2021. Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media. (2021).

2. Silvio Amir, Byron C Wallace, Hao Lyu, and Paula Carvalho Mário J Silva. 2016. Modelling context with user embeddings for sarcasm detection in social media. arXiv preprint arXiv:1607.00976 (2016).

3. Contextualized Sarcasm Detection on Twitter;Bamman;ICWSM,2015

4. Sarcastic sentiment detection in tweets streamed in real time: a big data approach;Bharti;Digital Communications and Networks,2016

5. Santosh Kumar Bharti, Korra Sathya Babu, and Sanjay Kumar Jena. 2015. Parsing-based sarcasm sentiment recognition in twitter data. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. ACM, 1373–1380.

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