Abstract
We present a COVID-19 news dashboard which visualizes sentiment in pandemic news coverage in different languages across Europe. The dashboard shows analyses for positive/neutral/negative sentiment and moral sentiment for news articles across countries and languages. First we extract news articles from news-crawl. Then we use a pre-trained multilingual BERT model for sentiment analysis of news article headlines and a dictionary and word vectors -based method for moral sentiment analysis of news articles. The resulting dashboard gives a unified overview of news events on COVID-19 news overall sentiment, and the region and language of publication from the period starting from the beginning of January 2020 to the end of January 2021.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation |
| Publisher | Association for Computational Linguistics |
| Pages | 110-115 |
| ISBN (Print) | 978-1-954085-13-8 |
| Publication status | Published - 2021 |
| MoE publication type | A4 Conference publication |
| Event | EACL Hackashop on News Media Content Analysis and Automated Report Generation - Virtual, Online Duration: 19 Apr 2021 → 19 Apr 2021 http://embeddia.eu/hackashop2021/ |
Workshop
| Workshop | EACL Hackashop on News Media Content Analysis and Automated Report Generation |
|---|---|
| City | Virtual, Online |
| Period | 19/04/2021 → 19/04/2021 |
| Internet address |