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master's thesis
Analiza sentimenta objava na Twitteru vezanih za koronavirus
2021. urn:nbn:hr:195:089255
Ivaninić, Alesia
University of Rijeka
Faculty of Informatics and Digital Technologies

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Ivaninić, A. (2021). Analiza sentimenta objava na Twitteru vezanih za koronavirus (Master's thesis). Rijeka: University of Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:089255

Ivaninić, Alesia. "Analiza sentimenta objava na Twitteru vezanih za koronavirus." Master's thesis, University of Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:195:089255

Ivaninić, Alesia. "Analiza sentimenta objava na Twitteru vezanih za koronavirus." Master's thesis, University of Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:195:089255

Ivaninić, A. (2021). 'Analiza sentimenta objava na Twitteru vezanih za koronavirus', Master's thesis, University of Rijeka, accessed 30 July 2024, https://urn.nsk.hr/urn:nbn:hr:195:089255

Ivaninić A. Analiza sentimenta objava na Twitteru vezanih za koronavirus [Master's thesis]. Rijeka: University of Rijeka; 2021 [cited 2024 July 30] Available at: https://urn.nsk.hr/urn:nbn:hr:195:089255

A. Ivaninić, "Analiza sentimenta objava na Twitteru vezanih za koronavirus", Master's thesis, University of Rijeka, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:195:089255

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Metadata
TitleAnaliza sentimenta objava na Twitteru vezanih za koronavirus
Title (english)Sentiment analysis of Twitter posts related to coronavirus
AuthorAlesia Ivaninić
MentorAna Meštrović (mentor)
GranterUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Rijeka
Defense date and country2021-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
U prvom dijelu rada ukratko su opisane korištene tehnologije te sama analiza sentimenta. Drugi dio bavi se analizom sentimenta tweetova vezanih za sveprisutnu pandemiju koronavirusa. Najprije je prikazan način prikupljanja podataka za daljnju upotrebu. Dio podataka preuzet je s Kaggle baze, dok je drugi dio prikupljen koristeći Twitter API. Zatim je prikazan i način pripreme podataka i njihove obrade za daljnju analizu te vizualizaciju rezultata. Za obradu podataka, korišten je programski jezik Python. Kao najvažnije biblioteke, ističu se „pandas“ za pripremu podataka i baratanje njima. Zatim slijedi „textblob“ za analiziranje sentimenta i dobivanje vrijednosti polariteta. A na samom kraju, korištena je biblioteka „matplotlib“ pomoću koje su prikazani rezultati kroz grafikone. Nakon prikupljanja podataka i njihove obrade, uslijedila je vizualizacija rezultata. Ovaj dio rada podijeljen je u tri manja dijela, te su rezultati prikazani za svaki od skupova podataka zasebno.
Abstract (english)
The first part of the paper briefly describes used technologies and sentiment analysis itself. The second part deals with sentiment analysis of tweets related to the coronavirus pandemic. First, the method of data collection for further processing is shown. Part of the data was downloaded from the Kaggle database, while the other part was collected using the Twitter API. Then, the method of data preparation and processing for further analysis and visualization of results is presented. Data was processed using the Python programming language. The most important libraries used are "pandas" for data preparation and manipulation. Then „textblob“ for analyzing sentiment and obtaining polarity values. And at the very end, the "matplotlib" library was used to present the results through graphs. After data collection and processing, the result visualization followed. This part of the paper is divided into three smaller parts, and the results are presented for each of the datasets separately.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:195:089255
Study programmeTitle: Informatics
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
Embargo expiration date: 2021-07-14
Terms of useLicence In copyright icon
Created on2021-07-12 09:12:51