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IBM Watson Natural Language Understanding vs. Microsoft Cognitive Toolkit (CNTK)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Watson Natural Language Understanding
Score 9.0 out of 10
N/A
IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.N/A
Microsoft Cognitive Toolkit (CNTK)
Score 9.8 out of 10
N/A
N/AN/A
Pricing
IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Top Pros

No answers on this topic

Top Cons
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IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Small Businesses
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Medium-sized Companies
Posit
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Score 9.1 out of 10
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Score 9.1 out of 10
Enterprises
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User Ratings
IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Likelihood to Recommend
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
IBM Watson Natural Language UnderstandingMicrosoft Cognitive Toolkit (CNTK)
Likelihood to Recommend
IBM
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.).
Verified User
Anonymous
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Open Source
No answers on this topic
Pros
IBM
  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.
Verified User
Anonymous
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Open Source
No answers on this topic
Cons
IBM
  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
Verified User
Anonymous
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Open Source
No answers on this topic
Return on Investment
IBM
  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.
Verified User
Anonymous
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Open Source
No answers on this topic
ScreenShots