نقدم لوحة معلومات أخبار Covid-19 التي تصور المعنويات في تغطية أخبار الوباء بلغات مختلفة في جميع أنحاء أوروبا.تظهر لوحة القيادة تحليلات للمشاعر الإيجابية / المحايدة / السلبية والمشاعر الأخلاقية للمقالات الإخبارية عبر البلدان واللغات.أولا نحن نستخمل مقالات الأخبار من الأخبار الزحف.ثم نستخدم نموذج بيرت متعدد اللغات مدرب مسبقا لتحليل المعنويات عناوين المقالات الإخبارية ومؤسسات القاموس وناهف الكلمة - طريقة تحليل المعنويات الأخلاقية للمقالات الإخبارية.يعطي لوحة القيادة الناتجة نظرة عامة موحدة على أحداث الأخبار حول المشاعر الإجمالية Covid-19 News، ومنطقة ولغة النشر من الفترة التي تبدأ من بداية يناير 2020 إلى نهاية يناير 2021.
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.
References used
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