{
    "data_id": "43783",
    "name": "Covid-19-Research-Articles-(NCBI)",
    "exact_name": "Covid-19-Research-Articles-(NCBI)",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nI collected about 1200 Covid-19 research articles from the NCBI.NLM.NIH website to be utilized in ML algorithms\/ Data Analysis such as Sentiment Analysis, Time Series, Recommender System and\/or Classification. \nContent\nlink: URL to the research article\ntitle: research article\nkeywords: words under which the research article is categorized\ndates: publication date online\nabstract: a brief summary of the article (methods  hypothesis included)\nconclusion: findings of the research\n**For the sake of time, I left some columns with 'null'  String values. It's your choice to filter the values, and use what is more appropriate for your ML model.\n**I didn't include authors\/contributors as it won't serve a purpose in this datasets \nInspiration\nI am interested in knowing the focus of those studies (by analyzing word frequencies) as well as analyzing the volume of publications over time.",
    "format": "arff",
    "uploader": "Elif Ceren Gok",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 10:26:49",
    "update_comment": null,
    "last_update": "2022-03-24 10:26:49",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102608\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": "\"link\"",
    "runs": 0,
    "suggest": {
        "input": [
            "Covid-19-Research-Articles-(NCBI)",
            "Context I collected about 1200 Covid-19 research articles from the NCBI.NLM.NIH website to be utilized in ML algorithms\/ Data Analysis such as Sentiment Analysis, Time Series, Recommender System and\/or Classification. Content link: URL to the research article title: research article keywords: words under which the research article is categorized dates: publication date online abstract: a brief summary of the article (methods hypothesis included) conclusion: findings of the research Inspiration I "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1198,
        "NumberOfFeatures": 5,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 1459,
        "NumberOfInstancesWithMissingValues": 768,
        "NumberOfNumericFeatures": 0,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.004173622704507512,
        "PercentageOfNumericFeatures": 0,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 64.10684474123539,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 24.357262103505843
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        },
        {
            "uploader": "38960",
            "tag": "Manufacturing"
        }
    ],
    "features": [
        {
            "name": "link",
            "index": "0",
            "type": "string",
            "distinct": "1198",
            "missing": "0",
            "ignore": "1"
        },
        {
            "name": "title",
            "index": "1",
            "type": "string",
            "distinct": "1197",
            "missing": "0"
        },
        {
            "name": "keywords",
            "index": "2",
            "type": "string",
            "distinct": "843",
            "missing": "351"
        },
        {
            "name": "conclusion",
            "index": "3",
            "type": "string",
            "distinct": "825",
            "missing": "372"
        },
        {
            "name": "dates",
            "index": "4",
            "type": "string",
            "distinct": "266",
            "missing": "319"
        },
        {
            "name": "abstract",
            "index": "5",
            "type": "string",
            "distinct": "779",
            "missing": "417"
        }
    ],
    "nr_of_issues": 0,
    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
    "reach_of_reuse": 0,
    "impact": 0
}