ibm-self-serve-assets/Watson-NLP
This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.
This project provides practical guides and examples to help data scientists and machine learning engineers integrate IBM Watson NLP capabilities into their applications. It offers notebooks for building custom NLP models from text data (like customer reviews or social media posts) and tutorials for deploying these models to make inferences in real-time. The output includes classifications, sentiment scores, extracted entities, and more, ready to be used in various business applications.
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Use this if you are a data scientist or ML engineer looking to quickly build, deploy, and integrate powerful natural language processing features like sentiment analysis, emotion detection, or entity extraction into your own software solutions.
Not ideal if you are an end-user seeking a ready-to-use, no-code NLP application or someone who needs to analyze text data without developing custom models or deploying services.
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Dec 20, 2024
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