Sentiment Analysis in R

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Free Online Course: Sentiment Analysis in R provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Sentiment Analysis in R is taught by EDWARD KWARTLER.

via DataCamp

4 hours worth of material

Self Paced

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

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

Syllabus

Fast & dirty: Polarity scoring
-In the first chapter, you will learn how to apply qdap's sentiment function called polarity() .

Sentiment analysis the tidytext way
-In the second chapter you will explore 3 subjectivity lexicons from tidytext. Then you will do an inner join to score some text.

Visualizing sentiment
-Make compelling visuals with your sentiment output.

Case study: Airbnb reviews
-Is your property a good rental? What do people look for in a good rental?

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Language

English
Certificate
Certificate Available
Date of Start
30th July, 2022
Price
Free Trial Available
Provider
DataCamp
Taught By

EDWARD KWARTLER
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