tagging-sections

cURL

curl -X POST -H 'X-API-KEY: <YOUR_API_KEY>' -H 'accept: */*' -H 'content-type: application/json' 'https://media-api.geneea.com/v2/nlp/analyze' -d '{
    "id": "1234",
    "title": "Emmanuel Macron in Germany.",
    "text": "Mr. Macron visited a trade show in Munich.",
    "presentationLanguage": "fr",
    "categories": [{"taxonomy": "MediaTopic", "code": "11000000"}, {"taxonomy": "Custom", "code": "politics"} ]
}'

cURL (Windows)

curl -X POST -H "X-API-KEY: <YOUR_API_KEY>"  -H "content-type: application/json" "https://media-api.geneea.com/v2/nlp/analyze" -d "{
    \"id\": \"1234\",
    \"title\": \"Emmanuel Macron in Germany.\",
    \"text\": \"Mr. Macron visited a trade show in Munich.\",
    \"presentationLanguage\": \"fr\",
    \"categories\": [{\"taxonomy\": \"MediaTopic\", \"code\": \"11000000\"}, {\"taxonomy\": \"Custom\", \"code\": \"politics\"} ]
}"

JavaScript

const categories = [
    {taxonomy: 'MediaTopic', code: '11000000'}, // IPTC category
    {taxonomy: 'Custom', code: 'politics'} // custom category
]

const input = {
    id: '1234',
    title: 'Emmanuel Macron in Germany.',
    text: 'Mr. Macron visited a trade show in Munich.',
    categories: categories
}

// see the definition of analyze above
analyze(config, input).then(report);

Python

categories = [
    {'taxonomy': 'MediaTopic', 'code': '11000000'}, ## IPTC category
    {'taxonomy': 'Custom', 'code': 'politics'}, ## custom category
]

input = {
    'id': '1234',
    'title': 'Emmanuel Macron in Germany.',
    'text': 'Mr. Macron visited a trade show in Munich.',
    'categories': categories,
}

## see the definition of analyze above
analyze(input)

Python SDK

requestBuilder = g3.Request.Builder()

with g3.Client.create(url=f'{BASE_URL}nlp/analyze') as analyzer:
    analyzer.session.headers.update({'X-API-Key': API_KEY})

    categories = [
        {'taxonomy': 'MediaTopic', 'code': '11000000'}, ## IPTC category
        {'taxonomy': 'Custom', 'code': 'politics'}, ## custom category
    ]
    request = requestBuilder.build(
        id='1234',
        title='Emmanuel Macron in Germany.',
        text='Mr. Macron visited a trade show in Munich.'
    )
    request.setCustomConfig(categories=categories)

    result = analyzer.analyze(request)