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master's thesis
Predikcija depresije temeljem objava na društvenim mrežama
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2019. urn:nbn:hr:211:252678
Tenšić, Monika
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

Tenšić, M. (2019). Predikcija depresije temeljem objava na društvenim mrežama (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:252678

Tenšić, Monika. "Predikcija depresije temeljem objava na društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:252678

Tenšić, Monika. "Predikcija depresije temeljem objava na društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:252678

Tenšić, M. (2019). 'Predikcija depresije temeljem objava na društvenim mrežama', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:211:252678

Tenšić M. Predikcija depresije temeljem objava na društvenim mrežama [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2019 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:211:252678

M. Tenšić, "Predikcija depresije temeljem objava na društvenim mrežama", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:211:252678

Metadata
TitlePredikcija depresije temeljem objava na društvenim mrežama
Title (english)Prediction of Depression Using Social Media Posts
AuthorMonika Tenšić
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberBožidar Kliček
MBZ: 95426
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2019-12-20, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
In this thesis, I use machine learning research for identifying signs of depression in social media posts. Depression and mental health problems, according to numerous studies, are evident in posts on social networks, which means we can use them to predict depression in individuals. In order to choose which type of algorithm is the best one for this application, comparison of different types of model training algorithms has been made. Data models used for training purposes were collected on online databases, created by other individuals. For algorithm development I used Python, and NTLK platform for training, testing and saving the model. Naive Bayes is used to create a classifier, which can detect signs of depression in the text by word analysis.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:252678
Study programmeTitle: Information and Programming Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2020-04-27 07:21:46