NER/NLP annotation

  • Updated

NER/NLP Annotation


Our purpose-built interface for NLP is ideal for:

  • named entity recognition (NER)
  • temporal tagging
  • keyphrase tagging
  • part of speech identification
  • fine-grained sentiment identification


Documents used in this tool are loaded asynchronously (similar to images and videos). The document itself is separate from the input record, which primarily consists of the URL to the asset itself.

To prepare your corpus, simply write each document as a .txt file. (All Unicode characters are supported.) Your corpus is securely hosted as described in the digital assets documentation.

Share This