Work

Classification of the Noisy Texts Based on Feature Vectors

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Cognitive Infocommunications

DOI: 10.1109/coginfocom63007.2024.10894737

Authors: Erzsébet Tóth, Zoltan Gal

Institution: University of Debrecen

Language: English

Topic: Authorship Attribution and Profiling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: KT, Innovation Fund

OpenAlex ID: W4407901019

FWCI:

Cites: 14

Cited by:

Related to: 10