This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of ...

Suppose you have a collection of e-mail messages from users of your product or service. You don't have time to read every message so you want to programmatically determine if the tone of each message ...

Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade. Sentiment analysis has been popular with social media and discovering how ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...