NewNormal: Aplikacija za praćenje pozitivnih i ohrabrujućih vijesti u doba koronavirusa

master's thesis

• Title (english): NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus
• Author: Kristijan Bošković
• Mentor: Marina Bagić Babac (mentor)
• Committee member: Marina Bagić Babac (predsjednik povjerenstva)
• Committee member: Marko Horvat (član povjerenstva)
• Committee member: Krešimir Fertalj (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Za vrijeme COVID-19 pandemije naši su se životi promijenili u, tzv. „novo normalno“ odnosno u život u skladu s epidemiološkim mjerama. U poplavi informacija vezanih uz tu paradigmu važno je brzo pronaći korisne informacije o mjestima i zemljama koje imaju pozitivne trendove u obuzdavanju epidemije. Cilj ovog diplomskog rada je razviti aplikaciju za prikupljanje i prikaz pozitivnih vijesti vezanih uz koronavirus i COVID-19 temeljeći se na dnevnim vijestima objavljenim na uglednim i pouzdanim novinskim webskim stranicama diljem svijeta. Aplikacija koristi obradu prirodnog jezika za analizu novinskih podataka za utvrđivanje pozitivnog sentimenta. U fokusu je prikaz ohrabrujućih i pozitivnih informacija krajnjem korisniku.

Abstract (english)

During the COVID-19 pandemic, our lives have changed to so called, new normal, that is living is in accordance with epidemiological measures. In the flood of information related to this paradigm, it is important to quickly find useful information about places or countries that have positive trends in dealing with pandemic. The aim of this thesis is to develop an application for collecting and displaying positive news regarding the Corona Virus and COVID-19 based on daily news that is published on reputable and reliable news websites world-wide. The application uses natural language processing for analysing news corpora to detect positive sentiment. The focus is on displaying encouraging and positive information to the end user.

• Keywords: koronavirus; COVID-19; analiza sentimenta; Natural Language API; Mapbox; Jsoup; NewNormal
• Keywords (english): coronavirus; COVID-19; sentiment analysis; Natural Language API; Mapbox; Jsoup; NewNormal
• Language: english
• URN:NBN: urn:nbn:hr:168:996365
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 11:50:45