Title
Datasets and Models for Authorship Attribution on Italian Personal Writings
Abstract
Existing research on Authorship Attribution (AA) focuses on texts for which a lot of data is available (e.g novels), mainly in English. We approach AA via Authorship Verification on short Italian texts in two novel datasets, and analyze the interaction between genre, topic, gender and length. Results show that AV is feasible even with little data, but more evidence helps. Gender and topic can be indicative clues, and if not controlled for, they might overtake more specific aspects of personal style.
Year
Venue
DocType
2020
CLiC-it
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Gaetana Ruggiero100.34
Albert Gatt269960.78
Malvina Nissim347951.48