Explore insights in text analysis using Azure Text Analytics

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Understand how Azure Text Analytics works and extract data

Use API and Microsoft Power BI to run Text Analysis

Create a Dashboard in Microsoft Power BIand Explore Insights

Clock1 hour
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this one-hour project, you will understand how Azure Text Analytics works and how you can use the power of Natual Language Processing, NLP, and Machine Learning to extract information and explore insights from text. You will learn how to use Azure Text Analytics to extract entities' sentiments, key phrases, and other elements from text like product reviews, understand how the results are organized, manipulate the data and generate a report to explore the insights. Azure Text Analytics is a fully managed service, and it is one of the most powerful Natural Language Processing engines in the market, so you can get up and running quickly, without having to train models from scratch. Once you're done with this project, you will be able to use Azure Text Analytics to extract, analyze and explore insights in your documents in just a few steps.

개발할 기술

  • Machine Learning
  • Azure
  • NLP
  • Microsoft
  • PowerBI

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Creating an Azure Text Analytics Instance

  2. Extracting Sentiments using API

  3. Understanding the Dataset

  4. Using Azure Text Analytics inside Microsoft Power BI

  5. Extracting many Insights using Azure Text Analytics job API

  6. Creating a Power Bi report to analyze insights

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.