Traditional genre-based approaches for book recommendations face challenges due to the vague definition of genres. To overcome this, we propose a novel task called Book Author Prediction, where we predict the author of a book based on user-generated reviews’ writing style. To this aim, we first introduce the ‘Literary Voices Corpus’ (LVC), a dataset of Italian book reviews, and use it to train and test machine learning models. Our study contributes valuable insights for developing user-centric systems that recommend leisure readings based on individual readers’ interests and writing styles.
Unmasking the Wordsmith: Revealing Author Identity through Reader Reviews
Chiara Alzetta;Felice Dell’Orletta;Chiara Fazzone;Alessio Miaschi;Giulia Venturi
2023
Abstract
Traditional genre-based approaches for book recommendations face challenges due to the vague definition of genres. To overcome this, we propose a novel task called Book Author Prediction, where we predict the author of a book based on user-generated reviews’ writing style. To this aim, we first introduce the ‘Literary Voices Corpus’ (LVC), a dataset of Italian book reviews, and use it to train and test machine learning models. Our study contributes valuable insights for developing user-centric systems that recommend leisure readings based on individual readers’ interests and writing styles.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Chiara Alzetta | en |
| dc.authority.people | Felice Dell’Orletta | en |
| dc.authority.people | Chiara Fazzone | en |
| dc.authority.people | Alessio Miaschi | en |
| dc.authority.people | Giulia Venturi | en |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/07/22 16:00:40 | - |
| dc.date.available | 2024/07/22 16:00:40 | - |
| dc.date.firstsubmission | 2024/05/16 17:29:13 | * |
| dc.date.issued | 2023 | - |
| dc.date.submission | 2024/05/16 17:29:13 | * |
| dc.description.abstracteng | Traditional genre-based approaches for book recommendations face challenges due to the vague definition of genres. To overcome this, we propose a novel task called Book Author Prediction, where we predict the author of a book based on user-generated reviews’ writing style. To this aim, we first introduce the ‘Literary Voices Corpus’ (LVC), a dataset of Italian book reviews, and use it to train and test machine learning models. Our study contributes valuable insights for developing user-centric systems that recommend leisure readings based on individual readers’ interests and writing styles. | - |
| dc.description.allpeople | Alzetta, Chiara; Dell’Orletta, Felice; Fazzone, Chiara; Miaschi, Alessio; Venturi, Giulia | - |
| dc.description.allpeopleoriginal | Chiara Alzetta, Felice Dell’Orletta, Chiara Fazzone, Alessio Miaschi, Giulia Venturi | en |
| dc.description.fulltext | open | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.source | manual | * |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/470921 | - |
| dc.identifier.url | https://ceur-ws.org/Vol-3596/paper4.pdf | en |
| dc.language.iso | eng | en |
| dc.relation.conferencedate | 30 nov - 02 dic | en |
| dc.relation.conferencename | 9th Italian Conference on Computational Linguistics | en |
| dc.relation.conferenceplace | Venezia | en |
| dc.relation.ispartofbook | Proceedings of the 9th Italian Conference on Computational Linguistics | en |
| dc.title | Unmasking the Wordsmith: Revealing Author Identity through Reader Reviews | en |
| dc.type.circulation | Internazionale | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| iris.mediafilter.data | 2025/04/12 03:44:03 | * |
| iris.orcid.lastModifiedDate | 2025/01/23 15:37:43 | * |
| iris.orcid.lastModifiedMillisecond | 1737643063056 | * |
| iris.scopus.extIssued | 2023 | - |
| iris.scopus.extTitle | Unmasking the Wordsmith: Revealing Author Identity through Reader Reviews | - |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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