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undergraduate thesis
Otkrivanje emocija u digitalnom sadržaju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:971789
Hanić, Sanja
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Hanić, S. (2021). Otkrivanje emocija u digitalnom sadržaju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:971789

Hanić, Sanja. "Otkrivanje emocija u digitalnom sadržaju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:971789

Hanić, Sanja. "Otkrivanje emocija u digitalnom sadržaju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:971789

Hanić, S. (2021). 'Otkrivanje emocija u digitalnom sadržaju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:971789

Hanić S. Otkrivanje emocija u digitalnom sadržaju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:971789

S. Hanić, "Otkrivanje emocija u digitalnom sadržaju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:971789

Metadata
TitleOtkrivanje emocija u digitalnom sadržaju
Title (english)Emotion detection in digital content
AuthorSanja Hanić
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberRenato Šoić (član povjerenstva)
Committee memberIvan Bartolec (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ovaj rad bavi se otkrivanjem emocija u tekstu te je napravljen kratak pregled dosadašnjih metoda za takvu obradu teksta. Opisana je jedna neuronska mreža s različitim parametrima koja radi predikciju emocije u kratkom tekstualnom zapisu - tweetu. Predikcija emocije je zapravo klasificiranje teksta kao jedne od šest mogućih emocija. Računalna obrada teksta je složen zadatak, no različite metode strojnog učenja imaju obećavajuće rezultate. Uz strojno učenje istaknuti su i drugi bitni procesi obrade teksta, poput tokenizacije i vektorske reprezentacije riječi.
Abstract (english)
This paper is focused on emotion detection in textual content and it represents a brief summary of basic emotion detection methods. The neural network described in this paper is used to predict an emotion of a short statement or a tweet. Emotion prediction is actually a classification problem, where every tweet is classified as one of the six possible emotions. Computer language processing is a complex task but machine learning methods are showing promising results. Alongside machine learning, this paper presents other important parts of natural language processing, like word tokenization and word embedding.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:971789
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 15:03:16