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Include Valuable Text-based Data in Your Graph

NLP provides analysis capabilities including similarity scoring, document origination, document summarization, paraphrasing detection, as well as real-time text processing.

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Learn how GraphGrid Natural Language Processing (NLP) turns unstructured data into real-time insights
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Turn Documents into Data

Data extraction turns document text into nodes in the graph and is the basis for all of GraphGrid NLP’s other language processing features. Data extraction captures natural language data and makes it available for all sorts of analysis adding depth to your insights.

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Document Similarity Scoring

Can You Relate?

Compare and contrast documents to better understand if, how, and in what ways they are related to each other. GraphGrid NLP uses the Term Frequency-Inverse Document Frequency (TF-IDF) method for similarity scoring between documents.

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Automagic Summarization

Automatically summarize documents based on their most relevant sentences as calculated by the average of its word’s TF-IDF score.

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Who's Your Source?

Document origination creates and maintains an ordered list or story-arch identifying documents that come from one another.

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That's the Idea

Two documents are translated to sentence vectors and compared for paraphrasing of one another and determine how closely related they are.

Turn text into data illustration


Today's News = Today's Data

Continuous processing provides real-time insight as the graph automatically ingests new data sources. The data model is automatically updated when new data is added to the graph.

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Global Reach

NLP service is available in 10 languages and is capable of identifying the evolution of text-based data over time.

  • English
  • Arabic
  • Chinese
  • French
  • German
  • Japanese
  • Korean
  • Portuguese
  • Russian
  • Spanish

Accelerate Your Connected Data Journey