phosseini/COVID19-fa

Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP (NLP-COVID19, EMNLP)

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Experimental

This project helps researchers and policymakers understand public sentiment and topics of discussion on Twitter in Iran during the COVID-19 pandemic. It takes Persian/Farsi tweets related to COVID-19 as input and provides visualizations, topic models, and content analyses as output. This is useful for social scientists, public health researchers, and government analysts interested in social media reactions and trends.

No commits in the last 6 months.

Use this if you need to analyze the specific content, trending topics, and overall sentiment of Persian/Farsi tweets related to the COVID-19 pandemic in Iran.

Not ideal if you are looking to analyze social media data from other countries, different languages, or topics unrelated to COVID-19 in Iran.

social-media-analysis public-health persian-language sentiment-analysis iran-studies
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

Jun 22, 2022

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