A Comparison of Several AI Techniques for Authorship Attribution on Romanian Texts
Determining the author of a text is a difficult task. Here, we compare multiple Artificial Intelligence techniques for classifying literary texts written by multiple authors by taking into account a limited number of speech parts (prepositions, adverbs, and conjunctions). We also introduce a new dat...
Main Authors: | Sanda-Maria Avram, Mihai Oltean |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/23/4589 |
Similar Items
-
On the Use of Supervised Learning Method for Authorship Attribution
by: Walaa M. Khalaf
Published: (2012-01-01) -
Employing Divergent Machine Learning Classifiers to Upgrade the Preciseness of Image Retrieval Systems
by: Dhingra Shefali, et al.
Published: (2020-09-01) -
Diabetes prediction using machine learning and explainable AI techniques
by: Isfafuzzaman Tasin, et al.
Published: (2023-02-01) -
An exploration of machine learning approaches for early Autism Spectrum Disorder detection
by: Nawshin Haque, et al.
Published: (2025-06-01) -
Non-word Attributes’ Efficiency in Text Mining Authorship Prediction
by: Mustafa Tareef Kamil
Published: (2019-04-01)