Text Data Mining

PROMT Text and Document Analysis Technologies provide  entity recognition, sentiment analysis and language detection APIs so you can easily integrate natural language processing into your applications and services.

The PROMT technologies are based on:

  • Algorithms of the deep semantic-syntactic analysis of the text
  • Complex dictionary base (hundreds of semantic classes, thousands of morphological characteristics, hundreds of thousands of word stems and expressions)

Main features

  • Named entity extraction
  • Fact extraction – extraction of actions and statements
  • Sentiment analysis –the system determines sentiment of  texts, statements and entities
  • Determination of semantic structure of a document

Advantages

  • Possibility to work with the limited training data size
  • Reliability and predictability of the result
  • Low requirements for computing resources
  • Fine extraction of relations between subjects of the document allowing to determine more precisely and fully its semantic structure