engleski

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

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.

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

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