Vox PopUnited States2010,Type/code

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VoxPop enables the visual exploration of sentiment contained in reader comments on the New York Times website. By siphoning reader comments from the New York Times API through a custom Natural Language Processing tool-chain, VoxPop classifies positively and negatively charged words. Reader sentiment is abstracted across thousands of comments in trending topics of conversation, and visualized through time and space.

 

VoxPop enables the visual exploration of sentiment contained in reader comments on the New York Times website. By siphoning reader comments from the New York Times API through a custom Natural Language Processing tool-chain, VoxPop classifies positively and negatively charged words. Reader sentiment is abstracted across thousands of comments in trending topics of conversation, and visualized through time and space.

Production Country: 
United States
Production Year: 
2010
Subject: 
Journalism and the Media
Platform: 
Website
Purpose: 
Issue Driven
User Experience: 
Geolocational
Mosaic
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