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Build a Natural Language Processing Solution with Microsoft Azure

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Duration

1h 6m

level

Advanced

Course Creator

Bismark Adomako

Last Updated

25-Aug-21

This course will teach you how to analyse customer social media feedback to extract user sentiments, language, key phrases, and entity information using Microsoft Azure’s Text Analytics Cognitive Service.

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Every organization’s dilemma is knowing what their customers need and how customers feel about their products and services. In this course, Build a Natural Language Processing Solution with Microsoft Azure, you’ll learn to extract user sentiments using Microsoft Azure’s Text Analytics Cognitive Service. First, you’ll retrieve and process key phrases in tweets. Next, you’ll detect the language in the tweet. Finally, you’ll learn how to retrieve and process sentiment in tweets. When you’re finished with this course, you’ll have the skills and knowledge of an AI engineer needed to extract user sentiments, language, key phrases, and entity information using Microsoft Azure’s Text Analytics Cognitive Service.
Author Name: Bismark Adomako
Author Description:
Bismark believes that education is no longer a one-time investment, but instead a lifelong pursuit and that great authors and mentors can play an invaluable role in finding and developing a fulfilling career. He holds a Bachelor of Science degree in Computer Engineering specializing in Software Engineering, Artificial Intelligence and Distributed computing. He taught courses in robotics and computer vision as a student leader whiles in school, and interned and consulted for the British Counci… more

Table of Contents

  • Course Overview
    1min
  • Configure Environment for Sentiment Analysis
    24mins
  • Detecting Language and Recognizing Entities
    20mins
  • Extract Key Phrases and Analyze Sentiments
    12mins
  • Analyzing the Data with Power BI
    7mins

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Build a Natural Language Processing Solution with Microsoft Azure
Build a Natural Language Processing Solution with Microsoft Azure
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