🔗 Who cites «LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets»

3 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets»

A Transformer-based approach to Irony and Sarcasm detectionNeural Computing and ApplicationsRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
Sentiment Analyzer with Rich Features for Ironic and Sarcastic TweetsPacific Asia Conference on Language, Information and Computation (PACLIC)Piyoros Tungthamthiti, Enrico Santus, Hongzhi Xu, et al.2015 · 3 citations

1 more paper of our library cites it; it has no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/cited-by/