Benefits of Catalyst Text Analytics
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Integration of Multiple Features
Text Analytics is a combination of three different features that work distinctly to deliver individual, drilled-down results. The integration of these features enables you to process the same content for three different purposes, and obtain multitudes of insights on it, with a single request. This helps you gain layers of insights on your source material, and strategize your actions accordingly. -
Highly Scalable and Efficient
Zia Text Analytics can process large volumes of data in parallel, and generate results in a fast and effective manner. Catalyst ensures a high throughput of data transmission and a minimal latency in serving requests. The quick response time enhances your application’s performance, and enables you to deliver instant solutions. -
Advanced and Trained AI
Zia is an AI-driven assistant that undergoes repeated systematic training to generate results with high accuracy and a low error margin. The AI is trained using various machine learning techniques to perform complex analysis and computations. The training model is vigorous, which means it studies and analyzes large volumes of data, and this ensures that the results generated are precise, accurate, and reliable. -
Seamless Integration
You can easily implement Text Analytics in your application without having to worry about the underlying logic or the backend set-up, by incorporating the ready-made code templates provided for the Java, Node.js and Python platforms. Catalyst saves your efforts in customizing the code for your needs, by auto-populating the code with relevant project and environment details. -
Testing in the Console
The testing feature in the console enables you to verify the efficiency of Text Analytics. You can process your own textual content and view both the JSON response and visual results. This allows you to get an idea about the format and accuracy of the response that will be generated when you implement it in your application.
Last Updated 2023-08-18 18:27:19 +0530 +0530
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