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Watch: Project Feels – Deep Text Models for Sentiment Analysis Watch: Project Feels – Deep Text Models for Sentiment Analysis
This video discusses the use of active learning, deep learning, Bayesian inference, and causality in Project Feels. This project, developed by the Data Science... Watch: Project Feels – Deep Text Models for Sentiment Analysis

This video discusses the use of active learning, deep learning, Bayesian inference, and causality in Project Feels. This project, developed by the Data Science Group at the New York Times, sought to predict how likely a given article was to evoke a range of emotions. Thus project crowdsourced data from a pool of hundreds of thousands of articles and modeled this data using a range of state-of-the-art text models.  The model predictions were in turn used to create premium advertising spaces, which showed quantitative improvements in randomized control trials.

[Related Article: An Introduction to Natural Language Processing (NLP)]

 

ODSC Team

ODSC Team

ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.

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