Text Analytics with Azure Machine Learning Studio

Text Analytics with Azure Machine Learning Studio

Text Analytics with Azure Machine Learning Studio - This guide will demonstrate how to build a supervised machine learning model on text data with Azure Machine Learning Studio.

Natural Language Processing (or NLP) is ubiquitous and has multiple applications. A few use cases include email classification into spam and ham, chatbots, AI agents, social media analysis, and classifying customer or employee feedback into positive, negative, or neutral. This guide will demonstrate how to build a supervised machine learning model on text data with Azure Machine Learning Studio.

Data

In this guide, you will take up the task of automating reviews in medicine. Medical literature is voluminous and rapidly changing, which increases the need for reviews. Often such reviews are done manually, which is tedious and time-consuming. You will try to address this problem by building a text classification model that will automate the process.

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