1. Angaramo F.andRossi C.(2018).Online clustering and classification for real‐time event detection in Twitter.Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management(ed.K.BoersmaandB.M.Tomaszewski) Rochester NY USA(20–23 May 2018).ISCRAM Association.http://idl.iscram.org/files/federicoangaramo/2018/1630_FedericoAngaramo+ClaudioRossi2018.pdf.
2. Barbieri F. Anke L.E. andCamacho‐Collados J.(2022).XLM‐T: multilingual language models in Twitter for sentiment analysis and beyond.Proceedings of the Thirteenth Language Resources and Evaluation Conference LREC 2022(eds.N.Calzolari F.Béchet P.Blacheet al.) pp.258–266 Marseille France(20–25 June 2022).European Language Resources Association.https://aclanthology.org/2022.lrec‐1.27.
3. Becker H. Naaman M. andGravano L.(2010).Learning similarity metrics for event identification in social media.Proceedings of the Third International Conference on Web Search and Web Data Mining WSDM 2010(eds.B.D.Davison T.Suel N.Craswell andB.Liu) pp.291–300 New York NY USA(4–6 February 2010).ACM.https://doi.org/10.1145/1718487.1718524.
4. Dynamic programming;Bellman R.;Science,1966