YoVDO

Sentiment Analysis in R with Sentimentr - Handling Negation and Valence Shifters

Offered By: 1littlecoder via YouTube

Tags

Sentiment Analysis Courses R Programming Courses Text Analysis Courses

Course Description

Overview

Explore sentiment analysis in R using the {sentimentr} package, which effectively handles negation and other valence shifters. Learn how to perform sentiment analysis, emotion analysis, and profanity analysis on text data using this powerful tool developed by Tyler Rinker. Discover the package's ability to handle valence shifters like negation out-of-the-box, making it an excellent choice for accurate sentiment analysis. Access the package on GitHub and follow along with the provided code to implement these techniques in your own projects. Engage with the community by sharing feedback on Twitter after watching this informative 21-minute video tutorial.

Syllabus

Sentiment Analysis in R with {sentimentr} that handles Negation and other Valence Shifters


Taught by

1littlecoder

Related Courses

Text Mining and Analytics
University of Illinois at Urbana-Champaign via Coursera
Introduction to Natural Language Processing
University of Michigan via Coursera
Enabling Technologies for Data Science and Analytics: The Internet of Things
Columbia University via edX
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
moocTLH: Nuevos retos en las tecnologĂ­as del lenguaje humano
Universidad de Alicante via MirĂ­adax