Build a Natural Language Processing Solution with Microsoft Azure
Offered By: Pluralsight
Course Description
Overview
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.
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.
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.
Syllabus
- 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
Taught by
Bismark Adomako
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