Text Analytics

Introduction

Text Analytics is a Catalyst Zia Services component that processes textual content to draw structured and quantitative information from it. Text Analytics enables you to obtain useful insights, patterns, and trends from any textual content, which helps you automate the analysis of crucial data and make informed business decisions. It can be widely used in applications that involve R&D, analytics, knowledge management, customer support services, and more.

Catalyst Text Analytics is a service that fundamentally encompasses three major features:

• Sentiment Analysis: Recognizes the tone and sentiment of a text as Positive, Negative, or Neutral
• Named Entity Recognition (NER): Extracts key words from a text and groups them into various pre-determined categories
• Keyword Extraction: Extracts the highlights of a text, such as the key words and key phrases in it

Catalyst Text Analytics delivers the results of any or all three of these features, based on your request. The responses of Sentiment Analysis and NER also include confidence scores that inform you of their accuracy. You can code your Catalyst application to process this information or handle it in any way you require.

The Catalyst console provides an integrated platform where you can test Text Analytics with a selection of sample text. The console delivers a JSON response, as well as a multifaceted visual response that enables you to understand the results easily.

You can learn more about the other components of Catalyst Zia Services from this page.

SDK and API for Text Analytics

Catalyst provides Text Analytics in the Java, Node.js and Python platforms. You can obtain sample code templates for these platforms from the Catalyst console or from the SDK help, and easily integrate Text Analytics in your web or mobile application. Catalyst also provides individual APIs for each Text Analytics feature. For more information and code samples on working in these programming environments, refer to these help pages:

• Text Analytics - Java SDK
• Text Analytics - Node.js SDK
• Text Analytics - Python SDK
• Text Analytics - API SDK