Caffe Deep Learning Framework vs. InMoment Text Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Caffe Deep Learning Framework
Score 7.0 out of 10
N/A
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.N/A
InMoment Text Analytics
Score 9.0 out of 10
N/A
InMoment’s text analytics, powered by our Lexalytics, is a software-as-a-service specializing in cloud-based text analytics and sentiment analysis. The tool unlocks insights and sentiment analysis from large amounts of unstructured text.
$999
per month
Pricing
Caffe Deep Learning FrameworkInMoment Text Analytics
Editions & Modules
No answers on this topic
System Cost
$10,000.00
Offerings
Pricing Offerings
Caffe Deep Learning FrameworkInMoment Text Analytics
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Caffe Deep Learning FrameworkInMoment Text Analytics
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Caffe Deep Learning FrameworkInMoment Text Analytics
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Medium-sized Companies
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Enterprises
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User Ratings
Caffe Deep Learning FrameworkInMoment Text Analytics
Likelihood to Recommend
4.0
(1 ratings)
9.0
(4 ratings)
User Testimonials
Caffe Deep Learning FrameworkInMoment Text Analytics
Likelihood to Recommend
Open Source
Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.
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InMoment
Its compatibility with Microsoft Excel makes it a great platform. It is a powerful tuning, workbench, and reporting application that resides within Microsoft Excel. This ability helps data analysts instantly gain actionable and valuable insights.
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Pros
Open Source
  • Caffe is good for traditional image-based CNN as this was its original purpose.
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InMoment
  • assign sentiment score
  • word cloud
  • Categorization
  • multilingual
  • has good visualization
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Cons
Open Source
  • Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
  • Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
  • Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
  • The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.
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InMoment
  • Sentence parsing can be even better
  • Sometimes cant predicts the sentiments
  • Reporting can be even better with best histograms and diagrams
  • Dash is somewhat difficult to understand
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Alternatives Considered
Open Source
TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.
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InMoment
It offers extensive text analysis capabilities and you can easily create a visual representation.
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Return on Investment
Open Source
  • Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.
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InMoment
  • Diffbot content extraction
  • The application integrates text analysis efficiently. I can identify changes and detect trends by evaluating posts, comments, tweets and other documentation on social media platforms and in the digital realm in general.
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ScreenShots