covid_sentiment_analysis
importedsoftware/covid-sentiment-analysis
Code, analysis and data for the paper Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- covid-19 · public-health · sentiment-analysis
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Manas-MentalHealth_Chatbotsentiment-analysis
Created a Chatbot using Machine learning models such as SVM,BERT embeddings,Sentiment Analysis and Created GUI in tkinter for above
- Sentiment-Analysis-for-Mental-Healthsentiment-analysis
This project focuses on sentiment analysis for mental health statements using machine learning techniques.
- covenantcovid-19 · public-health
Covenant - COVID-19 Quarantine Monitoring System
- covid-19-self-assessmentcovid-19 · public-health
The tool takes the public through a series of questions to inform those who are concerned they may have contracted COVID-19.
- covid_exportercovid-19 · public-health
Track the spread of COVID-19 in the United States in real-time. Make it pretty.
- curso_r_asiscovid-19 · public-health
Curso Intermediário de R para análise de situação de saúde
- api.github.com/repos/frankniujc/covid_sentiment_analysisretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-06-02, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/63.json→ .entries["covid-sentiment-analysis"]
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