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Disqus + TextKit

Disqus + TextKit

Disqus + TextKit integrations

Detect emotions in new comments in Disqus using TextKit

Looking to review your Disqus comments for consumer sentiment? This Zap makes it effortless. Once it's active, this integration flags each new comment in Disqus based on the emotion being conveyed on its text. This Zap triggers TextKit to run this analysis automatically, leaving you free for more important work.

  1. When this happens...
    New Comment
    New Comment
    New CommentTriggers when a new comment is left on a Disqus-enabled forum.
  2. automatically do this!
    Detect Emotion in Text
    Detect Emotion in Text
    Detect Emotion in TextThis model tries to determine the emotion conveyed by the writer on a text, using Ekman's list of emotions as potential results. Although detecting emotion can be very subjective, this model could find patterns after analyzing over 210,000 samples of labeled text of comments made on social media.
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More things you can do with Disqus and TextKit

Discover other triggers and actions you can use with Disqus and TextKit

    • Forum
      Required
    Trigger
    Polling
    Try It
    • Forum
      Required
    Trigger
    Polling
    Try It
    • Sentiment Text to Analyze
      Required
    Action
    Write
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About Disqus
If you’re passionate about writing and sharing, Disqus helps you build a community of active readers and commenters. If you’re a brand building an audience for content, advertising with Disqus connects you to geeks geeking out, about stuff that matters to you.
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About TextKit
TextKit provides ready-to-use APIs for Natural Language Processing and Text Analysis without the hassles of running your own models
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Related Zap Templates

  • Detect sentiments of new Disqus comments with TextKit

 

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