Workshops: Nov 19-20, 2015
Presentation: Understanding Realtime Conversations on Facebook
Abstract
People on Facebook share billions of pieces of content each day: posts, videos, photos, etc. They talk about current events, food, medical issues, consumer products . . . the variety is rich and diverse. Understanding the Chorus of this conversation – the aggregated, anonymized voice of the people – leads to incredible insights.
What are the top 5 topics being discussed for today’s election? What are the demographic breakdowns (age, gender, country) of World Cup fans? Oscars fans? It’s not easy technically: we need to extract topics, hashtags, and sentiment from billions of content items, join with demographic information, and then aggregate and visualize the results for each topic. We built a data pipeline that produces visual graphs within 10 seconds of content production.
In this talk, we describe how we extract the Chorus in real-time.
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