Various examples of topic modeling and other text analysis
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Updated
Mar 31, 2016 - R
Various examples of topic modeling and other text analysis
R codes for common Machine Learning Algorithms
Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large num…
Latent Dirichlet Allocation coupled with Bayesian Time Series analyses
Demonstration of a standard topic model approach
Correlated topic modeling
Classic Machine Learning in R
Collect Twitter data and create topic models with R
Topic Modelling in Semantic Embedding Spaces
Text Mining terms of service 🔏💻
The repo contains the main topics carried out in my master's thesis on operational risk. In particular, it is described how to implement the so called Loss Distribution Approach (LDA), which is considered the state-of-the-art method to compute capital charge among large banks.
Word network topic modeling applied to short text
A rolling version of the Latent Dirichlet Allocation.
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
Six machine learning models for predicting bladder cancer progression using Caret package
Code templates for different ML algorithms
This project is on Data Mining process using R depending on ISLR book.
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