Build a Natural Language Processing Solution with Microsoft Azure

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Bismark Adomako

1:05:57

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01. Course Overview

01. Course Overview.mp4

01:33

02. Configure Environment for Sentiment Analysis

02. Overview.mp4

01:09

03. Requirement Analysis.mp4

03:18

04. Getting the Twitter Bearer Token.mp4

02:02

05. Setting Up the Azure Resources.mp4

07:06

06. Consuming the Twitter API from Azure Databricks.mp4

10:01

07. Summary.mp4

00:48

03. Detecting Language and Recognizing Entities

08. Overview.mp4

00:48

09. Azure Cognitive Services.mp4

06:22

10. Detect Language with Text Analytics API.mp4

03:04

11. Detecting Language of Tweets.mp4

04:08

12. Recognize Entities with Text Analytics API.mp4

02:16

13. Recognizing Named Entities in Tweets.mp4

03:01

14. Summary.mp4

00:18

04. Extract Key Phrases and Analyze Sentiments

15. Overview.mp4

00:23

16. Extract Key Phrases with the Text Analytics API.mp4

02:07

17. Extracting Key Phrases from Tweets.mp4

02:01

18. Discover Sentiments with the Text Analytics API.mp4

01:33

19. Analyzing Sentiments in Tweets.mp4

05:15

20. Summary.mp4

01:00

05. Analyzing the Data with Power BI

21. Overview.mp4

00:33

22. Analyzing the Power BI Report.mp4

06:17

23. Summary.mp4

00:54

Description

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.

What You'll Learn?

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.

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Machine Learning

Natural Language Processing

Microsoft Azure

Bismark Adomako

Instructor's Courses

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 Council as a Software Engineer and Project Assistant. He currently works as a Business Intelligence and Big Data developer doubling up as a Data Scientist at Ecobank eProcess International S.A. developing machine learning models some of which includes the Customer360 model consisting of a customer segmentation model, customer churn model, and customer cross selling (product recommendation) model. He has enterprise level knowledge in data integration for BI & Data Management domain applications.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.