Her primary scientific interests are in Artificial intelligence, Natural language processing, Sentiment analysis, Task and Social media. Artificial intelligence and Reuse are two areas of study in which she engages in interdisciplinary work. Her research integrates issues of Irony, Social Semantic Web and Set in her study of Sentiment analysis.
Her study explores the link between Set and topics such as Semantics that cross with problems in World Wide Web and Semantic Web. Her study on SemEval is often connected to Polarity as part of broader study in Task. Her Social media study integrates concerns from other disciplines, such as Emotion recognition, Pragmatics, Corpus linguistics and Lexicon.
Viviana Patti mainly focuses on Artificial intelligence, Social media, Natural language processing, World Wide Web and Sentiment analysis. Her Artificial intelligence research integrates issues from Irony and Task. The Task study combines topics in areas such as Affect and Set.
Her research in Social media intersects with topics in Computational linguistics, Context, Social psychology and Internet privacy. Her research investigates the connection between Natural language processing and topics such as Annotation that intersect with issues in Scheme. Her World Wide Web study incorporates themes from Ontology and Semantics.
Viviana Patti focuses on Artificial intelligence, Social media, Natural language processing, Task and Voice activity detection. Her work on Computational model, Irony detection and Leverage as part of general Artificial intelligence study is frequently linked to Matching and Polarization, therefore connecting diverse disciplines of science. She integrates many fields, such as Social media and Immigration, in her works.
Viviana Patti studies Lexicon which is a part of Natural language processing. Her Task study also includes
Viviana Patti mostly deals with Task, Social media, Artificial intelligence, Natural language processing and Voice activity detection. Task is frequently linked to Cognitive psychology in her study. The various areas that Viviana Patti examines in her Social media study include Misinformation, Fake news, Media studies and Focus.
The concepts of her Focus study are interwoven with issues in Catalan, Software portability, Style and Set. When carried out as part of a general Artificial intelligence research project, her work on Benchmark and SemEval is frequently linked to work in Immigration, therefore connecting diverse disciplines of study. Her biological study spans a wide range of topics, including Deep learning and Lexicon.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
Valerio Basile;Cristina Bosco;Elisabetta Fersini;Debora Nozza.
north american chapter of the association for computational linguistics (2019)
Figurative messages and affect in Twitter
Emilio Sulis;Delia Irazú Hernández Farías;Paolo Rosso;Viviana Patti.
Knowledge Based Systems (2016)
Irony Detection in Twitter: The Role of Affective Content
Delia Irazú Hernańdez Farías;Viviana Patti;Paolo Rosso.
ACM Transactions on Internet Technology (2016)
Verifying the conformance of web services to global interaction protocols: a first step
M. Baldoni;C. Baroglio;A. Martelli;V. Patti.
web services and formal methods (2005)
An Italian Twitter Corpus of Hate Speech against Immigrants
Manuela Sanguinetti;Fabio Poletto;Cristina Bosco;Viviana Patti.
language resources and evaluation (2018)
Overview of the Evalita 2016 SENTIment POLarity Classification Task
Francesco Barbieri;Valerio Basile;Danilo Croce;Malvina Nissim.
3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016 (2016)
Overview of the Evalita 2014 SENTIment POLarity Classification Task
Valerio Basile;Andrea Bolioli;Malvina Nissim;Viviana Patti.
Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) (2014)
From tags to emotions: Ontology-driven sentiment analysis in the social semantic web
Matteo Baldoni;Cristina Baroglio;Viviana Patti;Paolo Rena.
Intelligenza Artificiale (2012)
Resources and benchmark corpora for hate speech detection: a systematic review
Fabio Poletto;Valerio Basile;Manuela Sanguinetti;Cristina Bosco.
language resources and evaluation (2021)
Hurtlex: A multilingual lexicon of words to hurt
Elisa Bassignana;Valerio Basile;Viviana Patti.
5th Italian Conference on Computational Linguistics, CLiC-it 2018 (2018)
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