zaključna naloga
Jan Škorjanc (Author), Branko Kavšek (Mentor), Jernej Vičič (Co-mentor)

Abstract

Uporaba metod strojnega učenja za ugotavljanje spola uporabnikov Twitterja na podlagi vsebine njihovih tvitov

Keywords

tviti;podatkovno rudarjenje;strojno učenje;Weka;klasifikacija;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UP - University of Primorska
Publisher: [J. Škorjanc]
UDC: 004.42(043.2)
COBISS: 1539708100 Link will open in a new window
Views: 2597
Downloads: 45
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: ǂThe ǂuse of machine learning methods for determining the gender of Twitter users based on the contents of their tweets
Secondary keywords: tweets;data mining;machine learning;Weka;classification;
Type (COBISS): Final paper
Thesis comment: Univ. na Primorskem, Fak. za matematiko, naravoslovje in informacijske tehnologije
Pages: X, 47 f., [1] f. pril.
ID: 10878781