APISumo

NLP API

Main Functionalities

  • Tokenizer: Segmenting text into words, punctuations marks etc. This is done by applying rules specific to each language. Each Doc consists of individual tokens, and we can iterate over them.
  • Visualizer: Visualizing a dependency parse or named entities in a text is not only a fun NLP demo – it can also be incredibly helpful in speeding up development and debugging your code and training process.
  • Lemmatization: Assigning the base forms of words.
  • Similarity: This API is used to compare two texts, and make a prediction of how similar they are. Predicting similarity is useful for building recommendation systems or flagging duplicates.
  • Named Entity Extraction: A named entity is a “real-world object” that’s assigned a name – for example, a person, a country, a product or a book title. spaCy can recognize various types of named entities in a document, by asking the model for a prediction.
  • Language Detection: Detects the human language of any given text

Key Features:

  • Perform NLP tasks without complex formulas.
  • Pre-trained statistical models.
  • Ability perform NLP operations in 6 languages.
  • Visualization capabilities.
  • No background NLP know-how needed.
  • Predictive modeling.

NLP API Pricing

Pricing and Rate-Limit info.

$0 /mo

  • 600Requests/day

$12.99 /mo

  • 30,000Requests/day

$59.99 /mo

  • 300,000Requests/day

Similar Categories

Handpicked lists of the best Text Analysis or Machine Learning APIs.