POST /v1/nlp/pos-tag

Part-of-speech tags

Every word tagged as a noun, verb, adjective and so on — the first step in most text analysis.

Label the grammar of a sentence now No key, no code — 3 credits either way.

curl -X POST "$DOATHING_API/v1/nlp/pos-tag" \
  -H "x-api-key: $DOATHING_KEY" \
  -H "content-type: application/json" \
  -d '{"text": "Ada Lovelace worked in London."}'

Every word tagged as a noun, verb, adjective and so on — the first step in most text analysis.

Tag tokens with Penn Treebank or universal part-of-speech labels using NLTK's perceptron tagger.

Input

Send either a text string or a file object. A file is decoded as UTF-8 and must be one of text/plain, text/markdown, text/html, text/csv.

Response

The result carries your remaining balance alongside it, so you can track spend without a second call.

{
  "tokens": [
    {
      "token": "Ada",
      "tag": "NNP",
      "description": "proper noun, singular"
    }
  ],
  "count": 6,
  "tagset": "penn",
  "counts": {
    "NNP": 3
  },
  "request_id": "37f01edb-0163-42a1-ac51-0acaef979800",
  "credits_remaining": 96
}

Cost

3 credits per call, whether it is run from the site or from the API — the credential differs, the price does not. A new account starts with 20 credits.

A rejected request still costs a credit: the authorizer decrements before the tool validates. A call rejected for a missing or invalid key is free.

Parameters

Generated from the endpoint’s own validation, so this is exactly what it accepts. A body field goes at the top level; an option goes inside options.

NameInTypeDefaultNotes
tagsetoptionsstring"penn"penn for the full Treebank set, or universal for twelve coarse categories. one of penn, universal
strip_punctuationoptionsbooleanfalseDrop punctuation tokens.