Automatic detection of figurative constructions used in texts can be quite a tricky task. In order to make it possible for a program to detect such constructions in a text it is necessary to understand what principles underlie sarcastic and ironic utterances and thus can be used for their identification. The paper deals with the linguistic differentiation between irony and sarcasm based on the analysis of tweets. We discuss the linguistic peculiarities of eight corpora marked with #irony and #sarcasm hashtags.

Distinguishing between irony and sarcasm in social media texts: Linguistic observations

PATTI, Viviana;
2016-01-01

Abstract

Automatic detection of figurative constructions used in texts can be quite a tricky task. In order to make it possible for a program to detect such constructions in a text it is necessary to understand what principles underlie sarcastic and ironic utterances and thus can be used for their identification. The paper deals with the linguistic differentiation between irony and sarcasm based on the analysis of tweets. We discuss the linguistic peculiarities of eight corpora marked with #irony and #sarcasm hashtags.
2016
2016 International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT)
St. Petersburg, Russia
Aug. 28 2016-Sept. 4 2016
Proceedings of 2016 International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT)
IEEE
1
6
978-952-68397-6-9
http://ieeexplore.ieee.org/document/7584765/
irony, sarcasm, social media, Twitter, corpora
Khokhlova, Maria; Patti, Viviana; Rosso, Paolo
File in questo prodotto:
File Dimensione Formato  
linguistic-obs-ironyIEEE07584765.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 4.4 MB
Formato Adobe PDF
4.4 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1608558
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 6
social impact