Szczegóły publikacji
Opis bibliograficzny
Personality recognition from source code based on lexical, syntactic and semantic features / Mikołaj Biel, Marcin KUTA, Jacek KITOWSKI // W: Computational Science - ICCS 2020 : 20th International Conference : Amsterdam, The Netherlands, June 3–5, 2020 : proceedings, Pt. 2 / eds. Valeria V. Krzhizhanovskaya, [et al.]. — Cham : Springer Nature Switzerland, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12138. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-50416-8; e-ISBN: 978-3-030-50417-5. — S. 351–363. — Bibliogr. s. 361–363, Abstr. — Publikacja dostępna online od: 2020-06-15
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129151 |
|---|---|
| Data dodania do BaDAP | 2020-06-25 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-50417-5_26 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 20th International Conference on Computational Science |
| Czasopisma/serie | Theoretical Computer Science and General Issues, Lecture Notes in Computer Science |
Abstract
Automatic personality recognition from source code is a scarcely explored problem. We propose personality recognition with handcrafted features, based on lexical, syntactic and semantic properties of source code. Out of 35 proposed features, 22 features are completely novel. We also show that n-gram features are simple but surprisingly good predictors of personality and present results arising from joint usage of both handcrafted and baseline features. Additionally we compare our results with scores obtained within the Personality Recognition in SOurce COde track during Forum for Information Retrieval Evaluation 2016 and set up state-of-the-art results for conscientiousness and neuroticism traits.