krishnapriya-18/COVID-19-Tweet-Classification-using-Roberta-and-Bert-Simple-Transformers

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Emerging

This project helps classify tweets related to COVID-19 into different categories. It takes raw tweet text as input and outputs a classification identifying the tweet's specific topic or sentiment regarding COVID-19. Social media analysts, public health researchers, or organizations monitoring public discourse around health crises would find this useful.

No commits in the last 6 months.

Use this if you need to automatically sort large volumes of COVID-19 related tweets to understand public sentiment, track information spread, or identify key themes.

Not ideal if you need to classify tweets on topics unrelated to COVID-19 or require highly nuanced qualitative analysis beyond predefined categories.

social-media-analysis public-health-monitoring sentiment-analysis crisis-communication information-tracking
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 18 / 25

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28

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16

Language

Jupyter Notebook

License

Last pushed

May 11, 2020

Commits (30d)

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curl "https://pt-edge.onrender.com/api/v1/quality/transformers/krishnapriya-18/COVID-19-Tweet-Classification-using-Roberta-and-Bert-Simple-Transformers"

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