Predikcija depresije temeljem objava na društvenim mrežama

Tenšić, Monika

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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

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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

Harvard

Tenšić, M. (2019). 'Predikcija depresije temeljem objava na društvenim mrežama', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 23 September 2023, https://urn.nsk.hr/urn:nbn:hr:211:252678

Vancouver

Tenšić M. Predikcija depresije temeljem objava na društvenim mrežama [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2019 [cited 2023 September 23] Available at: https://urn.nsk.hr/urn:nbn:hr:211:252678

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:211:252678

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Metadata

Title	Predikcija depresije temeljem objava na društvenim mrežama
Title (english)	Prediction of Depression Using Social Media Posts
Author	Monika Tenšić
Mentor	Dijana Oreški (mentor) MBZ: 318615
Committee member	Božidar Kliček MBZ: 95426
Granter	University of Zagreb Faculty of Organization and Informatics (Department of Information Systems Development) Varaždin
Defense date and country	2019-12-20, 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
Language	croatian
URN:NBN	urn:nbn:hr:211:252678
Study programme	Title: Information and Programming Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Organization and Informatics - Digital Repository
Created on	2020-04-27 07:21:46