{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "DEPRESSION-DETECTION-USING-TWEETS",
    "description": "An end-to-end machine learning solution designed to identify depressive characteristics in social media discourse using natural language processing and supervised learning techniques.",
    "identifier": "DEPRESSION-DETECTION-USING-TWEETS",
    "license": "https://spdx.org/licenses/MIT.html",
    "programmingLanguage": [
        "Python",
        "NLP"
    ],
    "author": [
        {
            "@type": "Person",
            "givenName": "Amey",
            "familyName": "Thakur",
            "id": "https://orcid.org/0000-0001-5644-1575"
        },
        {
            "@type": "Person",
            "givenName": "Mega",
            "familyName": "Satish",
            "id": "https://orcid.org/0000-0002-1844-9557"
        }
    ],
    "dateReleased": "2022-06-05",
    "codeRepository": "https://github.com/Amey-Thakur/DEPRESSION-DETECTION-USING-TWEETS",
    "developmentStatus": "complete",
    "applicationCategory": "Machine Learning / Sentiment Analysis",
    "keywords": [
        "Depression Detection",
        "Twitter",
        "Machine Learning",
        "NLP",
        "Social Media Analytics"
    ]
}