This tool allows you to detect key ideas and trends by using syntactic analysis. Noun phrases, verb phrases, adjectival phrases and others, can be identified by using concept extraction to fulfill user’s needs. The service can be used to extract objects and ideas from any type of text, either high-quality ones (news, legislation…) or colloquial ones (forums, blogs, chats, social media…).   concepts

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Extracts and classifies different types of concepts:

Bitext’s API uses Deep Linguistic Analysis based on grammars, which allows for a rich variety of concept detection adapted according to user’s needs:

  • Simple concepts: “checking account”, “twin brother”
  • Compound or nested concepts: “my brother’s checking account”
  • Combinations of the above: “account”, “checking account”, “checking account of the bank”,“bank”, “my brother’s bank”

The linguistic analysis also makes it possible to extract concepts based on syntactic phrases:

  • Noun phrases: “Now, the teacher explains a new grammar lesson, which is difficult”
  • Adjectival phrases: “Now, the teacher explains a new grammar lesson, which is difficult”
  • Verb phrases: “Now, the teacher explains a new grammar lesson, which is difficult”
  • Adverbial phrases: “Now, the teacher explains a new grammar lesson, which is difficult”

Normalizes variants into standard forms

The concept extraction service applies a normalization process to the concepts in order to coherently handle all instances of the same concept. As an example the following phrases are instances of the same concept:

  • The checking account
  • These checking accounts
  • One of my checking accounts
  • A correct normalization of concepts is essential for services such as categorization or for trend detection.

Combination of services: concept & entity extraction

The concept extraction service can be easily combined with the entity extraction service, thus allowing for analysis featuring both services. For instance, “the speech of the president of the United States” is a compound concept which can be divided into one concept “speech of the president” and one entity “United States”.

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Sentiment Analysis

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Categorization

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Entity Extraction

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Concept Extraction

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