Using machine learning methods for analyzing sequential textual data : doctoral dissertation

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Title:	Using machine learning methods for analyzing sequential textual data : doctoral dissertation
Authors:	ID Novak, Erik (Author) ID Mladenić, Dunja (Mentor) More about this mentor... ID Erjavec, Tomaž (Member of the commission for defense) ID Škraba, Primož (Member of the commission for defense)
Files:	DR_Novak_Erik_2024.pdf (8,78 MB) MD5: 51956D18663A7F7BE9A0DE946DCE9056
Language:	English
Work type:	Doctoral dissertation
Typology:	2.08 - Doctoral Dissertation
Organization:	MPŠ - Jožef Stefan International Postgraduate School
Keywords:	machine learning, analyzing sequential textual data, algorithms, doctoral dissertations
Place of publishing:	Ljubljana
Place of performance:	Ljubljana
Publisher:	E. Novak
Year of publishing:	2024
Year of performance:	2024
Number of pages:	XXV, 135 str.
PID:	20.500.12556/ReVIS-13685
COBISS.SI-ID:	213612803
UDC:	004.85(043.3)
Note:	Besedilo v angl.;
Publication date in ReVIS:	16.04.2026
Views:	279
Downloads:	1
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Language:	Slovenian
Title:	Uporaba metod strojnega učenja za analiziranje tekstovnih podatkov v zaporedju : doktorska disertacija
Keywords:	naravni jeziki, tekstovni podatki v zaporedju, analize, algoritmi, doktorske disertacije

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