JD Supra

Unpacking Averages: Searching for Bias in Word Embeddings Trained on FDA Regulatory Documents

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 ...
Visual Studio Magazine

Sentiment Analysis Using Keras

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 ...
CMS Wire

Using Sentiment Analysis and Voice of Customer Data for Insight-Driven CX

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 ...
Indiatimes

Word embeddings in NLP

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 ...