This paper1 presents a new linguistic resource for Italian, called MultiEmotions-It, containing comments to music videos and advertisements posted on YouTube and Facebook. These comments are manually annotated according to four different dimensions: i.e., relatedness, opinion polarity, emotions and sarcasm. For the annotation of emotions we adopted the Plutchik’s model taking into account both basic and complex emotions, i.e. dyads.

Sprugnoli, R., MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian, in Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020), (online, 01-03 March 2021), Accademia University Press, Torino 2020: 402-408. [10.4000/books.aaccademia.8910] [http://hdl.handle.net/10807/165687]

MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian

Sprugnoli, Rachele
Primo
2020

Abstract

This paper1 presents a new linguistic resource for Italian, called MultiEmotions-It, containing comments to music videos and advertisements posted on YouTube and Facebook. These comments are manually annotated according to four different dimensions: i.e., relatedness, opinion polarity, emotions and sarcasm. For the annotation of emotions we adopted the Plutchik’s model taking into account both basic and complex emotions, i.e. dyads.
2020
Inglese
Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
7th Italian Conference on Computational Linguistics, CLiC-it 2020
online
1-mar-2021
3-mar-2021
979-12-80136-28-2
Accademia University Press
Sprugnoli, R., MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian, in Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020), (online, 01-03 March 2021), Accademia University Press, Torino 2020: 402-408. [10.4000/books.aaccademia.8910] [http://hdl.handle.net/10807/165687]
File in questo prodotto:
File Dimensione Formato  
paper_08.pdf

accesso aperto

Tipologia file ?: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 233.21 kB
Formato Adobe PDF
233.21 kB Adobe PDF Visualizza/Apri

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/10807/165687
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact