--- title: "Who cites LLT-PolyU: Identifying Sentiment — 3 citing papers" description: "3 papers of the Elamur Research library cite «LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LLT-PolyU: Identifying Sentiment Intensity in…](https://md.research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/) 1. **[A Transformer-based approach to Irony and Sarcasm detection](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/) [Neural Computing and Applications](https://md.research.elamur.ai/free/en/venues/neural-computing-and-applications/)**Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis*2019 · 312 citations* 2. **[Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets](https://md.research.elamur.ai/free/en/papers/tungthamthiti-2015-sentiment-analyzer-rich-features-ironic/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/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. - [← back to](https://md.research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/) — LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets