Sometimes the three classes of sentiment (positive, negative and neutral) are not sufficient to
understand the
nuances regarding the underlying tone of a sentence. Our Emotion Analysis classifier is trained
on our
proprietary dataset and tells whether the underlying emotion behind a message is: Happy, Sad,
Angry, Fearful,
Excited or Bored.
Emotion API works in fourteen different languages mentioned here.
Try our free demo now by typing a sentence or choose from the options in the drop-down menu.
Happy
--
Angry
--
Excited
--
Sad
--
Fear
--
Bored
--
ParallelDots Emotion Analysis API maintains high accuracy in real world, and detects subjective emotions like Sarcasm from text.
Process and return results in extremely short time, meeting demands from various industries.
ParallelDots Emotion Analysis support private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage.
Emotion Detection API can accurately detect the emotion from any textual data. People voice their
opinion,
feedback and reviews on social media, blogs and forums.Marketers and customer support can leverage
the power of
Emotion Detection to read and analyze emotions attached with the textual data.
We use Deep Learning powered algorithms to extract features from the textual data. These features
are used to
classify the emotion attached to the data. We have trained our classifier using Convolutional Neural
Networks
(Covnets) on a tagged dataset created by our team.
By capturing customers who feel strongly negative towards your product or service, customer service can deal with their issues specifically. Imagine the fury of a customer who leaves a comment that’s 0.95 negative. In such a case, prioritizing user’s complaints using Emotion Analysis score can help you in taking actions quickly.
Enterprises can analyze how people are reacting to their marketing campaigns on social media platforms like Youtube, Facebook, Twitter, and Instagram. This gives them an objective feedback about the content that works and empowers them in fine tuning their marketing strategy accordingly.
(30-day subscription)
Checkout our Text Analysis plugins to analyze your textual data without writing any code.
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