Global AI On Virtual Tour

Unsupervised Aspect Based Sentiment Analysis at Scale.

Description

Aspect-based sentiment analysis is a text analysis technique that breaks down text into aspects (attributes or components of a product or service), and then scores the sentiment level (positive, negative or neutral) of each aspect. In this talk we'll walk through a production pipeline for training large Aspect Based Sentiment Analysis model in python with the Intel NLP Architect package based on the following open sourced code on GitHub

Resources

Ari Bornstein

Senior Open Source Engineer @Microsoft