Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

A Shiny Application for Inspecting Structural Topic Models

Topic Modelling in Semantic Embedding Spaces

A simple Shiny App for Topic Modeling in R

Print multiple stm model dashboards to a pdf file for inspection

📝 Topic Modeling for Humans

◽ <- ⚪ Structural Equation Modeling from a broader context.

Topic-Specific Diagnostics for LDA and CTM Topic Models

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

Collect Twitter data and create topic models with R

Sample code and explanations for doing basic text mining tasks in R

map estimation of topic models

Sentiment Analysis and Trend Monitoring to Predict Cryptocurrency Market Movements

Weaving analytical stories from text data

The objective of this project is to monitor the trends in data science job opportunities. We achieve this through scraping of the jobserve website.

My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics

Optimal topic identification from a pool of Latent Dirichlet Allocation models

Structural Topic Modeling in R (published two articles on Medium). STM, LDA, metadata, NLP.

Machine Learning and Deep Learning Course