In this post I introduce the _Company Vector_, a distributed representation of a company's core business activities. Company vectors are learned from business descriptions found in public SEC 10-K filings using an unsupervised learning algorithm called the _Paragraph Vector_. The learned vectors can be used to compare companies to each... [Read More]

In this post I introduce Trump Bot, a Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) that generates new Donald Trump speeches. Trump Bot is trained on a [compilation](https://github.com/rtlee9/Trump-bot/raw/master/data/trump/input_norm_caps/input.txt) of transcripts of speeches delivered by Trump throughout this last year. Though prone to grammar mistakes and rare but sudden... [Read More]