openmedical/registry
← registry

covid_sentiment_analysis

imported

software/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.

record
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
built by · 1

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.

similar by tags

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

  • 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

  • COVID-19_Datacovid-19 · public-health

    COVID-19 Data Repository for Bangladesh and Worldwide Cases

sources
  1. api.github.com/repos/frankniujc/covid_sentiment_analysis
    retrieved 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 →

machine-readable

/v1/entries/63.json→ .entries["covid-sentiment-analysis"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.