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Pregled bibliografske jedinice broj: 1136595

NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus


Bošković, Kristijan
NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus, 2021., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb


CROSBI ID: 1136595 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus

Autori
Bošković, Kristijan

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
13.07

Godina
2021

Stranica
67

Mentor
Bagić Babac, Marina

Ključne riječi
coronavirus ; COVID-19 ; sentiment analysis ; Natural Language API ; Mapbox ; Jsoup ; NewNormal

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marina Bagić Babac (mentor)


Citiraj ovu publikaciju:

Bošković, Kristijan
NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus, 2021., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
Bošković, K. (2021) 'NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus', diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Bo\v{s}kovi\'{c}, Kristijan}, year = {2021}, pages = {67}, keywords = {coronavirus, COVID-19, sentiment analysis, Natural Language API, Mapbox, Jsoup, NewNormal}, title = {NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus}, keyword = {coronavirus, COVID-19, sentiment analysis, Natural Language API, Mapbox, Jsoup, NewNormal}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Bo\v{s}kovi\'{c}, Kristijan}, year = {2021}, pages = {67}, keywords = {coronavirus, COVID-19, sentiment analysis, Natural Language API, Mapbox, Jsoup, NewNormal}, title = {NewNormal: Application for Tracking Positive and Encouraging News in the Age of the Corona Virus}, keyword = {coronavirus, COVID-19, sentiment analysis, Natural Language API, Mapbox, Jsoup, NewNormal}, publisherplace = {Zagreb} }




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