LDA visualization using pyLDAvis
Basics, Text Mining, Unsupervised Learning

Introduction to topic modeling using LDA (Latent Dirichlet Allocation)

Introduction In natural language processing, particularly text mining, topic modeling is a very important technique used commonly for identifying topics from a text source to enable informed decision making. Topic modeling is an unsupervised statistical modeling technique used for finding out a group of words, which collectively represent a topic in a large collection of documents. The article focusses on…

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R, Text Mining

Text Analytics: Mining Enron Emails

Mining Enron Emails You might have heard about the Enron scandal that came to light in 2001 which eventually led to bankruptcy of the Enron corporation. This is the largest corporate fraud that had happened so far. The Enron top-honchos used what is called Mark-to-market accounting to make up their financial statements. They used this accounting and financial shenanigan to…

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