Watson

AlchemyLanguage Emotion Analysis API is Generally Available, and It’s Getting Better

Share this post:

“Many in the field of Cognitive AI research and development speak of the importance of context. Context could be visualized similar to that of an onion, with multiple levels of nested, related and non-related context. But perhaps one of the most important layers is Emotional context, as it has the power to transform dynamic decision making internal to the intelligence.”

—Brennon Williams, Chief Executive Officer & Founder of Iridium Systems and Robotics Corporation


On July 1st, 2016, the Emotion Analysis capability in AlchemyLanguage became Generally Available for production use. Now, with our latest updates, you can use Sentiment & Emotion Analysis to understand social data at a deeper level than ever before.

AlchemyLanguage users take their Sentiment Analysis one step deeper to detect five distinct emotions in text – joy, fear, sadness, anger, and disgust. Users employ our sentiment and emotion capabilities to discover emotional trends in social media, prioritize inbound social data, and more.

Now, our customers can get even more granular and accurate with the Emotion Analysis API. Part of what makes our Sentiment Analysis API special is the fact that users can detect sentiment for user-specified phrases, entities and keywords. Now, with our latest update, the Emotion Analysis API can detect emotions towards a user-specified phrase, entity or keyword as well.

We thank all of our users for the consistent feedback that has driven these product updates. As we continue to grow and enhance our capabilities, we appreciate your support.

More stories
April 30, 2019

Introducing IBM Analytics Engine v1.2 and Announcing the Deprecation of IBM Analytics Engine v1.0

We are excited to inform you about the new version of IBM Analytics Engine v1.2 that will be available starting May 15, 2019. Along with this release, Analytics Engine v1.0 will be retired.

Continue reading

April 29, 2019

Transforming Customer Experiences with AI Services (Part 1)

This is an experience from a recent customer engagement on transcribing customer conversations using IBM Watson AI services.

Continue reading

April 26, 2019

Updated Tutorial: Database-Driven Chatbot

The tutorial on how to build a database-driven chatbot has been updated. It's now simpler to deploy and and offers more options—Slack, Facebook Messenger, Wordpress, and more.

Continue reading