prikaz prve stranice dokumenta Prikupljanje i analiza poruka na Reditu
  Download
PDF 1.08 MB
undergraduate thesis
Prikupljanje i analiza poruka na Reditu
2023. urn:nbn:hr:195:446119
Banović, Ivan
University of Rijeka
Faculty of Informatics and Digital Technologies

Cite this document

Banović, I. (2023). Prikupljanje i analiza poruka na Reditu (Undergraduate thesis). Rijeka: University of Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:446119

Banović, Ivan. "Prikupljanje i analiza poruka na Reditu." Undergraduate thesis, University of Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:195:446119

Banović, Ivan. "Prikupljanje i analiza poruka na Reditu." Undergraduate thesis, University of Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:195:446119

Banović, I. (2023). 'Prikupljanje i analiza poruka na Reditu', Undergraduate thesis, University of Rijeka, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:195:446119

Banović I. Prikupljanje i analiza poruka na Reditu [Undergraduate thesis]. Rijeka: University of Rijeka; 2023 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:195:446119

I. Banović, "Prikupljanje i analiza poruka na Reditu", Undergraduate thesis, University of Rijeka, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:195:446119

Please login to the repository to save this object to your list.
Metadata
TitlePrikupljanje i analiza poruka na Reditu
Title (english)Analysis of Reddit posts
AuthorIvan Banović
MentorSanda Martinčić-Ipšić (mentor)
Committee memberMiran Pobar (predsjednik povjerenstva)
Committee memberSanda Martinčić-Ipšić (član povjerenstva)
Committee memberSlobodan Beliga (član povjerenstva)
GranterUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Rijeka
Defense date and country2023-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Završni rad se bavi analizom objava i komentara vezanih za COVID-19 pandemiju, prikupljenih sa hrvatskog subreddita u periodu od 1.1.2020. do 31.12.2020., te anotiranih sa pozitivnim, neutralnim ili negativnim sentimentom. Opisat će se početni skup podataka, njegovo prikupljanje, te njegove transformacije, a nad podacima će se provesti statistička analiza i frekvencijska analiza, te će se prikazati vizualizacije u obliku histograma, korelacijskih grafova i matrica zabune. Koristit će se različiti algoritmi za klasifikaciju, kao što su naivni Bayesov algoritam, nasumične šume (eng. random forest), te stroja potpornih vektora (eng. support vector machine). Uz to, ukratko će se opisati korištene programske metode.
Abstract (english)
The final thesis deals with the analysis of posts and comments related to the COVID- 19 pandemic, collected from the Croatian subreddit during the period from January 1st, 2020, to December 31, 2020, and annotated with a positive, neutral, or negative sentiment. The initial dataset, its collection, and its transformations will be described, and visualizations such as histograms, correlation graphs, and confusion matrices will be presented. Different classification algorithms will be used, such as the Naive Bayes algorithm, Random Forest, and Support Vector Machine. Furthermore, a brief description of the programming methods used will be provided.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:195:446119
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-16 23:05:34