stemming2017

The code for stemming2017.nl, a website that shows election predictions based on Twitter language analysis

https://github.com/woseseltops/stemming2017

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.1%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

The code for stemming2017.nl, a website that shows election predictions based on Twitter language analysis

Basic Info
  • Host: GitHub
  • Owner: Woseseltops
  • Language: HTML
  • Default Branch: master
  • Size: 4.01 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 9 years ago · Last pushed about 8 years ago
Metadata Files
Readme Codemeta

README.md

stemming2017

The code for stemming2017.nl, a website that shows election predictions based on Twitter language analysis

Owner

  • Name: Wessel Stoop
  • Login: Woseseltops
  • Kind: user
  • Location: Nijmegen

CodeMeta (codemeta.json)

{
  "@context": [
    "https://doi.org/10.5063/schema/codemeta-2.0",
    "http://schema.org",
    {
      "entryPoints": {
        "@reverse": "schema:actionApplication"
      },
      "interfaceType": {
        "@id": "codemeta:interfaceType"
      }
    }
  ],
  "@type": "SoftwareSourceCode",
  "identifier": "stemming2017",
  "name": "Stemming 2017",
  "version": "unknown",
  "description": "Stemming2017 aims at identifying relevant content in social media streams. Text mining is the main approach.",
  "license": "unknown",
  "url": "http://stemming2017.nl/",
  "producer": {
    "@id": "https://www.ru.nl/clst",
    "@type": "Organization",
    "name": "Centre for Language and Speech Technology",
    "url": "https://www.ru.nl/clst",
    "parentOrganization": {
      "@id": "https://www.ru.nl/cls",
      "@type": "Organization",
      "name": "Centre for Language Studies",
      "url": "https://www.ru.nl/cls",
      "parentOrganization": {
        "@id": "https://www.ru.nl",
        "name": "Radboud University",
        "@type": "Organization",
        "url": "https://www.ru.nl",
        "location": {
          "@type": "Place",
          "name": "Nijmegen"
        }
      }
    }
  },
  "author": [
    {
      "@type": "Person",
      "givenName": "Eric",
      "familyName": "Sanders",
      "affiliation": {
        "@id": "https://www.ru.nl/clst"
      }
    },
    {
      "@type": "Person",
      "givenName": "Wessel",
      "familyName": "Stoop",
      "affiliation": {
        "@id": "https://www.ru.nl/clst"
      }
    }
  ],
  "sourceOrganization": {
    "@id": "https://www.ru.nl/clst"
  },
  "programmingLanguage": {
    "@type": "ComputerLanguage",
    "identifier": "python",
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  "softwareRequirements": [
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      "@type": "SoftwareApplication",
      "identifier": "django",
      "name": "django"
    }
  ],
  "referencePublication": [
    {
      "@type": "ScholarlyArticle",
      "name": "Relating Political Party Mentions on Twitter with Polls and Election Results",
      "author": [
        "Eric Sanders",
        "Antal van den Bosch"
      ],
      "url": "http://ceur-ws.org/Vol-986/paper_9.pdf"
    }
  ],
  "issueTracker": "https://github.com/woseseltops/stemming2017/issues",
  "developmentStatus": "inactive",
  "keywords": [
    "nlp",
    "twitter",
    "politics"
  ],
  "dateCreated": "2017",
  "entryPoints": [
    {
      "@type": "EntryPoint",
      "urlTemplate": "http://stemming2017.nl/",
      "interfaceType": "WUI"
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}

GitHub Events

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Last synced: about 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 1
  • Average time to close issues: 11 months
  • Average time to close pull requests: 8 days
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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