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R

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Sentiment Analysis in R

중급기술 수준
업데이트됨 2024. 5.
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
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RMachine Learning4시간14 동영상52 연습 문제4,200 XP14,049성취 증명서

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DataCamp for Business 체험

강의 설명

Expand Your Text Mining Skill Set

Add sentiment analysis to your text mining toolkit! Sentiment analysis is used by text miners in marketing, politics, customer service, and elsewhere. In this course you will learn to identify positive and negative language, specific emotional intent, and make compelling visualizations. You’ll start with an introduction to polarity scoring using qdap’s sentiment function, and will build your understanding of Zipf’s law and subjectivity lexicons along the way.

Use Tidytext to Perform Sentiment Analysis

Sentiment, and the language used to express it, is complicated and nuanced. It’s based on linguistics, sociology, and psychology, as well as culture and slang. The second chapter in this course helps you navigate those difficulties using Plutchik’s wheel of emotion, and organizes your work using Tidytext from the Tidyverse.

Bolster Your Insights with Sentiment Analysis Visualizations

Turning your sentiment analysis into clear data visualizations will help you create a clearer narrative and share your insights with the rest of the business. The third chapter of this course shows you how to visualize your sentiment analysis, and takes you beyond word clouds to create simple and impactful graphics that tell the full story of your data.

You’ll finish off the course by putting all of your knowledge to the test with a case study. Using Airbnb reviews, you’ll explore what people really look for in a good rental.

선수 조건

Text Mining with Bag-of-Words in R
1

Fast & Dirty: Polarity scoring

In the first chapter, you will learn how to apply qdap's sentiment function called polarity() .
챕터 시작
2

Sentiment Analysis the tidytext Way

3

Visualizing Sentiment

4

Case study: Airbnb reviews

Sentiment Analysis in R
강의
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지금 등록

19백만 명 이상의 학습자와 함께 Sentiment Analysis in R을(를) 시작하세요!

무료 계정을 만드세요

또는

계속 진행하시면 당사의 이용약관, 개인정보처리방침 및 귀하의 데이터가 미국에 저장되는 것에 동의하시는 것입니다.

DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.

모바일 강좌와 매일 5분 코딩 챌린지를 통해 이동 중에도 학습 효과를 높이세요.