Appen vs. IBM Watson Natural Language Understanding

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Appen
Score 10.0 out of 10
N/A
The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.N/A
IBM Watson Natural Language Understanding
Score 8.2 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
Pricing
AppenIBM Watson Natural Language Understanding
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AppenIBM Watson Natural Language Understanding
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
AppenIBM Watson Natural Language Understanding
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
AppenIBM Watson Natural Language Understanding
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
Medium-sized Companies
Posit
Posit
Score 8.7 out of 10
Posit
Posit
Score 8.7 out of 10
Enterprises
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AppenIBM Watson Natural Language Understanding
Likelihood to Recommend
10.0
(1 ratings)
8.0
(1 ratings)
User Testimonials
AppenIBM Watson Natural Language Understanding
Likelihood to Recommend
Appen
It is well suited for the users and potential employee who are free of any job perspective and need their free time to be utilized. Users can use their free time to be used for submission of interesting tasks.
Whereas the number of tasks are very less and processing time is also very extensive and recruitment takes time more.
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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.).
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Pros
Appen
  • Project listing
  • Hiring of the potential and qualified users
  • Tracking of the projects
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IBM
  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.
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Cons
Appen
  • Selection procedure is bit .
  • The questionnaire need to be reviewed.
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IBM
  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
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Alternatives Considered
Appen
Appen offers projects mostly related to my native language and also according to my expertise . It offers very interesting projects to be completed , which requires not very expertise and less time to be completed for each task. It is also very convenient to use after selection for the task and also well rewarding against the time consumed for the task completion.
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IBM
No answers on this topic
Return on Investment
Appen
  • It has Positive impact as it provides opportunity for new jobs in my area of expertise.
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IBM
  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.
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ScreenShots