Hungarian

Utilization of Underlying Semantic Information in Textual Data

Kicsi András
Utilization of Underlying Semantic Information in Textual Data.
[Thesis]

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Item Type: Thesis (Doctoral thesis (PhD))
Creators: Kicsi András
Hungarian title: A szöveges adatokban rejlő szemantikai információ hasznosítása
Title of the thesis in foreign language: Utilization of Underlying Semantic Information in Textual Data
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Vidács László
Tudományos főmunkatárs, PhD, SZTE
10017596
Subjects: 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.11. Software engineering, operating systems, computer languages > 01.02.01.11.03. Software Design & Development
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.11. Software engineering, operating systems, computer languages > 01.02.01.11.08. Software quality management
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.15. Artificial intelligence, intelligent systems, multi agent systems
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.18. Human computer interaction and interface, visualization and natural language processing > 01.02.01.18.08. Natural language processing
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.08. Cognitive science, human computer interaction, natural language processing
01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.09. Bioinformatics, e-Health, medical informatics
Divisions: Doctoral School of Computer Science
Discipline: Engineering > Information Technology
Language: English
Date: 2022
Additional Information: -
Item ID: 11462
Date Deposited: 2022. Sep. 20. 08:07
Last Modified: 2022. Sep. 20. 08:07
URI: https://doktori.bibl.u-szeged.hu/id/eprint/11462
Defence/Citable status: Not Defended. (Do not cite until it has not assigned DOI number!)

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