Word Embedding with Keras - A RStudio Tutorial

Explore word embedding techniques using Keras in RStudio through this comprehensive 42-minute tutorial. Delve into the theory and concepts behind word embedding, a crucial natural language processing method that represents words as vector strings. Follow a line-by-line explanation of a script created by Blog.rstudio to complete your first word embedding project in R. Gain insights into Keras, TensorFlow, and essential machine learning concepts required for implementing the word embedding algorithm. Cover topics such as SkipGram Generator, demonstration, training, and Principal Component Analysis (PCA). Access additional resources and the script file to enhance your understanding of word embedding and related techniques.

Introduction
Setup
SkipGraham Generator
Demonstration
Training
PCA