Abstrakti
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.
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation |
| Kustantaja | Association for Computational Linguistics |
| Sivut | 110-115 |
| ISBN (painettu) | 978-1-954085-13-8 |
| Tila | Julkaistu - 2021 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | EACL Hackashop on News Media Content Analysis and Automated Report Generation - Virtual, Online Kesto: 19 huhtik. 2021 → 19 huhtik. 2021 http://embeddia.eu/hackashop2021/ |
Workshop
| Workshop | EACL Hackashop on News Media Content Analysis and Automated Report Generation |
|---|---|
| Kaupunki | Virtual, Online |
| Ajanjakso | 19/04/2021 → 19/04/2021 |
| www-osoite |