Build custom text analytics solutions

Microsoft via Microsoft Learn

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Overview

The Build Custom Text Analytics Solutions course provides a comprehensive guide to designing and implementing tailored text analytics systems that extract valuable insights from unstructured textual data. Ideal for data scientists, developers, and business analysts, this course covers the essential techniques and tools required to transform raw text into meaningful information that supports decision-making and automation. Learners will explore key concepts such as natural language processing (NLP), sentiment analysis, entity recognition, topic modeling, and text classification. The course emphasizes practical...

Syllabus

Module 1: Module 1: Create a custom text classification solution
- Introduction
- Understand types of classification projects
- Understand how to build text classification projects
- Exercise - Classify text
- Knowledge check
- Summary

Module 2: Module 2: Custom named entity recognition
- Introduction
- Understand custom named entity recognition
- Label your data
- Train and evaluate your model
- Exercise - Extract custom entities
- Knowledge check
- Summary