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For citeation : Sadman, N. (2020). INTRODUCTION OF COVID-NEWS-US-NNK AND COVID-NEWS-BD-NNK DATASET. doi:10.13140/RG.2.2.19443.96802
To collaborate
USA: https://docs.google.com/forms/d/1dYvEZSRIygNq3oYxLMjO4_ptrx4j3CkUSaSEOsxrFJE/edit?usp=sharing
and
BD: https://docs.google.com/forms/d/1gxIhyRj2kA0LVImOQYq307qdPflUy4EO2CSrtZnznJU/edit?usp=sharing}
Moderated by
Nafiz Sadman
Nishat Anjum
Kishor Datta Gupta : www.github.com/kishordgupta
In this paper, we introduce a collection of 1000 news report dataset on COVID-19 from two different countries and used Natural Language Processing techniques to extract knowledge about the virus, including the number of COVID-cases, trending topics month, sentiment analysis, etc. Moreover, we compared how the virus spreads and impacts a developed country and a developing country. Our curated dataset can be used in various socio-economical studies to understand news media’s effect on public awareness.
KeywordsCovid-19·News report·Supervised Dataset·natural language processing
In this paper, we introduce a collection of 1000 news report dataset on COVID-19 from two different countries and used Natural Language Processing techniques to extract knowledge about the virus, including the number of COVID-cases, trending topics month, sentiment analysis, etc. Moreover, we compared how the virus spreads and impacts a developed country and a developing country. Our curated dataset can be used in various socio-economical studies to understand news media’s effect on public awareness.
KeywordsCovid-19·News report·Supervised Dataset·natural language processing