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

Rachele Sprugnoli

doi:10.4000/books.aaccademia.8910

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

Rachele Sprugnoli^*

^*Autore corrispondente per questo lavoro

Università Cattolica del Sacro Cuore

Risultato della ricerca: Contributo in libro › Contributo a conferenza

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.

Lingua originale	Inglese
Titolo della pubblicazione ospite	Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
Pagine	402-408
Numero di pagine	7
DOI	https://doi.org/10.4000/books.aaccademia.8910
Stato di pubblicazione	Pubblicato - 2020
Evento	7th Italian Conference on Computational Linguistics, CLiC-it 2020 - online Durata: 1 mar 2021 → 3 mar 2021

Convegno

Convegno	7th Italian Conference on Computational Linguistics, CLiC-it 2020
Città	online
Periodo	1/3/21 → 3/3/21

Keywords

emotion analysis
sentiment analysis

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10.4000/books.aaccademia.8910

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title = "MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian",

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{\textquoteright}s model taking into account both basic and complex emotions, i.e. dyads.",

keywords = "emotion analysis, sentiment analysis, emotion analysis, sentiment analysis",

author = "Rachele Sprugnoli",

year = "2020",

doi = "10.4000/books.aaccademia.8910",

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pages = "402--408",

booktitle = "Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)",

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AB - 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.

KW - emotion analysis

KW - sentiment analysis

KW - emotion analysis

KW - sentiment analysis

UR - http://hdl.handle.net/10807/165687

UR - http://ceur-ws.org/vol-2769/paper_08.pdf

U2 - 10.4000/books.aaccademia.8910

DO - 10.4000/books.aaccademia.8910

M3 - Conference contribution

SN - 979-12-80136-28-2

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BT - Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)

T2 - 7th Italian Conference on Computational Linguistics, CLiC-it 2020

Y2 - 1 March 2021 through 3 March 2021

ER -

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

Abstract

Convegno

Keywords

Accesso al documento

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