@inproceedings{vassallo-etal-2024-neutral,
title = "Neutral Score Detection in Lexicon-based Sentiment Analysis: The Quartile-based Approach",
author = "Vassallo, Marco and
Gabrieli, Giuliano and
Basile, Valerio and
Bosco, Cristina",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.105/",
pages = "976--982",
ISBN = "979-12-210-7060-6",
abstract = "The neutrality detection in Sentiment Analysis (SA) still constitutes an unsolved and debated issue. This work proposes an empirical method based on the quartiles of the polarity distribution for a lexicon-based SA approach. Our experiments are based on the Italian linguistic resource MAL (Morphologically-inflected Affective Lexicon) and applied to two annotated corpora. The findings provided a better detection of the neutral opinions with preserving a substantial overall polarity prediction."
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<abstract>The neutrality detection in Sentiment Analysis (SA) still constitutes an unsolved and debated issue. This work proposes an empirical method based on the quartiles of the polarity distribution for a lexicon-based SA approach. Our experiments are based on the Italian linguistic resource MAL (Morphologically-inflected Affective Lexicon) and applied to two annotated corpora. The findings provided a better detection of the neutral opinions with preserving a substantial overall polarity prediction.</abstract>
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%0 Conference Proceedings
%T Neutral Score Detection in Lexicon-based Sentiment Analysis: The Quartile-based Approach
%A Vassallo, Marco
%A Gabrieli, Giuliano
%A Basile, Valerio
%A Bosco, Cristina
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F vassallo-etal-2024-neutral
%X The neutrality detection in Sentiment Analysis (SA) still constitutes an unsolved and debated issue. This work proposes an empirical method based on the quartiles of the polarity distribution for a lexicon-based SA approach. Our experiments are based on the Italian linguistic resource MAL (Morphologically-inflected Affective Lexicon) and applied to two annotated corpora. The findings provided a better detection of the neutral opinions with preserving a substantial overall polarity prediction.
%U https://aclanthology.org/2024.clicit-1.105/
%P 976-982
Markdown (Informal)
[Neutral Score Detection in Lexicon-based Sentiment Analysis: The Quartile-based Approach](https://aclanthology.org/2024.clicit-1.105/) (Vassallo et al., CLiC-it 2024)
ACL