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Sentiment Analysis in R

1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

In this Sentiment Analysis in R course at Data Camp you will learn to identify positive and negative language, specific emotional intent, and make compelling visualizations.

Overview

Context of the Sentiment Analysis in R course at Data Camp

Add sentiment analysis to your text mining toolkit! Sentiment analysis is used by text miners in marketing, politics, customer service and elsewhere.

You will end the course by applying your sentiment analysis skills to Airbnb reviews to learn what makes for a good rental.

Programme Structure

Chapters

  • Fast & dirty: Polarity scoring
  • Sentiment analysis the tidytext way
  • Visualizing sentiment
  • Case study: Airbnb reviews

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

  • Text Mining with Bag-of-Words in R

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • Basic Access: Free
  • Enterprise: Contact sales for pricing
  • Premium (for individuals): $5.75/month billed annually
  • Teams (for teams of 2 and up): $5.75 per user /month billed annually

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Sentiment Analysis in R
-
Data Camp

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