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 ...

Add Yahoo as a preferred source to see more of our stories on Google. You can measure customers’ attitudes in two ways. One way to measure customer satisfaction, say, is to use an intentional approach ...

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 ...

Sentiment analysis — a sophisticated tool that interprets the emotional tone behind words, giving brands a lens into how their services or products resonate. Customer feedback is a treasure trove of ...

In Salesforce’s most recent State of the Connected Customer study, 80% of respondents said a company’s customer experience is as important as its products and services. Sixty-five percent said they ...

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 ...