Text Classification API version 2.0

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Examples

Here are some examples of text categorization using MeaningCloud API:

Classify a text using IPTC Subject Codes in English (IPTC_en)

To obtain the subject categories for a short text like the following:

"The 85th Academy Awards ceremony took place February 24, 2013."

Use the txt parameter to submit the text.
Select value IPTC_en as the value for the model parameter to use IPTC classfication model in English
Include your MeaningCloud license key as value for key parameter
Choose an output format, for instance json as value for of

Example using `curl`:

curl 'https://api.meaningcloud.com/class-2.0' \
  -F 'key=YOUR API KEY' \
  -F 'model=IPTC_en' \
  -F 'txt=The 85th Academy Awards ceremony took place February 24, 2013.'

MeaningCloud API output:

{2 items
"status":{3 items
"code":"0"
"msg":"OK"
"credits":"5"
}
"category_list":[2 items
0:{4 items
"code":"01021001"
"label":"arts, culture and entertainment - entertainment (general) - entertainment award"
"abs_relevance":"0.48236102"
"relevance":"100"
}
1:{4 items
"code":"08006000"
"label":"human interest - award and prize"
"abs_relevance":"0.28744578"
"relevance":"60"
}
]
}