@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://preview.aclanthology.org/jlcl-multiple-ingestion/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."
}