Mapping World Happiness And Conflict Through Global News And Image Mining

A series of maps of the world as seen through nearly 200 million global news articles, 1.4 million photographs, 89 million events, 1.48 billion location mentions and 860 billion emotion scores, and bringing together deep learning image sentiment assessment from Google Cloud Vision API, mass-scale textual sentiment analysis (GCAM), fulltext geocoding, mass machine translation (Translingual), local source monitoring, Google BigQuery, and CartoDB into a collection of maps and visualizations of the state of the world in 2015.

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