Legendary Entertainment

Image emotion classification in social media websites

Automatic image emotion classification is challenging because it requires models capable of recognizing emotion content in images, which can vary substantially. In addition, there was no image dataset with high quality labels large enough for learning these models until 2016. We have designed the system for Emotion Data Management and Analysis (SEDMA) not only for prediction of image emotion but also to actively improve the process of building high quality manually labeled datasets. SEDMA can potentially be used in a wide range of...

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Stochastic Query Optimization and Bias Characterization for Large Scale Text Search

Legendary is a leading film production company, with 43 feature films released, 6 films currently in production and $13 billion in box office revenues in 2015. Identifying the correct search terms to find social media posts about an entity or concept is a highly challenging task. For instance, the word Fargo may refer to a place (in North Dakota), a TV show, a movie, or a bank (Wells Fargo). The student team analyzed 4 million tweets to produce a text-query generation & optimization system. The search index query, constructed from combinations of text tokens constrained to simple...

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