Fast Scalable Natural Language Understanding Solution
June 01, 2021

Fast Scalable Natural Language Understanding Solution

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Natural Language Understanding

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.

Pros

  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.

Cons

  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
  • Easy-to-Use APIs.
  • Extracting important concepts.
  • Decent extraction accuracy.
  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.

Do you think IBM Watson Natural Language Understanding delivers good value for the price?

Yes

Are you happy with IBM Watson Natural Language Understanding's feature set?

Yes

Did IBM Watson Natural Language Understanding live up to sales and marketing promises?

Yes

Did implementation of IBM Watson Natural Language Understanding go as expected?

Yes

Would you buy IBM Watson Natural Language Understanding again?

Yes

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.).

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