August 10, 2018 By Zia Mohammad 2 min read

Watson Natural Language Classifier

Independent of industry vertical or use case, natural language processing has become central to all user workflows. From developers to data scientists, an optimized workflow is essential.

“At the root of all natural language processing is text classification”

From classifying financial risk and compliance to categorizing service queries and messages, Watson Natural Language Classifier enables you to create, train, and evaluate custom classifiers through machine learning. Important features include the following:

  • Classify natural language text: Classify strings of text into categories of your choice.

  • Leverage IBM Deep Learning as a Service: Train your classifier with up to 20,000 rows of training data.

  • Multi-lingual support: Support is available in English, Arabic, French, German, Italian, Japanese, Korean, Portuguese (Brazilian), and Spanish.

  • Multi-phrase classification: Classify up to 30 separate text inputs in a single API request.

A frictionless user journey

Today we are happy to GA the Watson Natural Language Classifier tooling in Watson Studio. While maintaining existing API functionality, you can train and test your classifiers within Watson Studio.

When redesigning the tooling, it was important to keep the full end-user experience in mind. By addressing common pain points in the beta and old toolkit, the new tooling provides an improved user experience for training classifiers.

In one environment, you train, build, and test your classifiers. Additionally, with Watson Studio, you can import other services, notebooks, frameworks, and models into your projects.

Training a support ticket classifier

Note: Users of the old toolkit can have their data migrated to the new one by following these instructions.

Start building

Product Page | Get Started Free | Case Studies | Sample Apps

Questions or comments? Don’t hesitate to reach out!

 

More from Announcements

Success and recognition of IBM offerings in G2 Summer Reports  

2 min read - IBM offerings were featured in over 1,365 unique G2 reports, earning over 230 Leader badges across various categories.   This recognition is important to showcase our leading products and also to provide the unbiased validation our buyers seek. According to the 2024 G2 Software Buyer Behavior Report, “When researching software, buyers are most likely to trust information from people with similar roles and challenges, and they value transparency above other factors.”  With over 90 million visitors each year and hosting more than 2.6…

Manage the routing of your observability log and event data 

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives.  As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

Unify and share data across Netezza and watsonx.data for new generative AI applications

3 min read - In today's data and AI-driven world, organizations are generating vast amounts of data from various sources. The ability to extract value from AI initiatives relies heavily on the availability and quality of an enterprise's underlying data. In order to unlock the full potential of data for AI, organizations must be able to effectively navigate their complex IT landscapes across the hybrid cloud.   At this year’s IBM Think conference in Boston, we announced the new capabilities of IBM watsonx.data, an open…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters