IBM Watson Natural Language Understanding

IBM Watson Natural Language Understanding

Score 8.2 out of 10
IBM Watson Natural Language Understanding

Overview

What is IBM Watson Natural Language Understanding?

IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.
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What is IBM Watson Natural Language Understanding?

IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Details

What is IBM Watson Natural Language Understanding?

IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.

IBM Watson Natural Language Understanding Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Reviews and Ratings

 (4)

Reviews

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Score 8 out of 10
Vetted Review
Verified User
We are using IBM Watson Natural Language Understanding in two projects. [In] the first one, we use it to find important concepts and keywords in a paragraph and then we use this information to generate questions asking about these important concepts and keywords. In the other project, we are using IBM Watson Natural Language Understanding along with IBM Watson Assistant to rephrase and summarize what the chatbot user has said.
  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.
  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
IBM Watson Natural Language Understanding is a Swiss Army knife that can be used in many scenarios. An extensive list of easy to use APIs is provided making it very easy to integrate it in any environment. The text analysis is decent and above market average. It generates results in many forms to suit may scenarios (important keywords, concepts, sentiment analysis, etc.).
  • Easy-to-Use APIs.
  • Extracting important concepts.
  • Decent extraction accuracy.
  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.
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