Emotion Analysis

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.

Select a Language

Happy

Angry

Excited

Sad

Fear

Bored

*Please refer to API documentation to use this API.

Why our Emotion Analysis API ?

Accurate

ParallelDots Emotion Analysis API maintains high accuracy in real world, and detects subjective emotions like Sarcasm from text.

Fast

Process and return results in extremely short time, meeting demands from various industries.

Flexible Deployment

ParallelDots Emotion Analysis support private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage.

How Our Emotion Analysis API Works?

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.

Target detractors to improve service to them

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.

Brand-watching

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.

Pricing

(30-day subscription)

Starter

Price: $79
6K hits/day
(60 API hits/minute)

Standard

Price: $199
15K hits/day
(120 API hits/minute)

Business

Price: $299
30K hits/day
(180 API hits/minute)

Advanced

Price: $499
2 Million hits/month
(maximum capacity)

Enterprise

Need more API hits and Rate Limit?

Contact Sales

Get Started

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Custom Solutions

Want to train your own custom model? Contact Sales to get started

Contact Sales

Integration

For Developers

Ready to integrate? Check out our API wrappers.

API Wrappers

For Analyst

Checkout our Text Analysis plugins to analyze your textual data without writing any code.

Google Sheets add-on MS Excel add-in

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Sentiment Analysis is contextual mining of text which identifies and extracts subjective information in source material.

Demo

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Intent Analysis

Get intent of text.

This classifier tells whether the underlying intention behind a sentence is opinion, news, marketing, complaint, suggestion, appreciation, and query.