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You are viewing : > Home > Research > Research Profiles > Grapevine
  • Computational Analysis of Ice Hockey Gameplay
  • Online Music Recommendation and the Problem of Missing Ratings
  • Speech Summarization
  • Novel Interfaces for Molecular Visualization
  • Using a Physical Object to Control a Virtual 3D Object
  • Amigo: Proximity-Based Authentication
  • Grapevine
  • Modelling Complex Financial Instruments
  • Using Language to Learn Structure Appearance Models for Image Annotation
  • Stylization of Character Motion
  • ILoveSketch
  • JSCOOP: A High-Level Concurrency Framework for Java
  • Dezombify
  • SPIDER Data Cleaning Tool
  • Cognitive Orthosis for Assisting Activities in the Home
  • NAViGaTOR Visualizing Protein Interaction Networks
  • Friend Forecaster: Cellphone Software Aiding Memory for Games

Grapevine

Grapevine 

























Ever wondered what the world is talking about? Grapevine is an online system that conducts large scale data analysis on the social media collective, extracting and distilling information in real time from millions of blog posts, thousands of tweets, news items, etc. It automatically identifies stories, emerging events, popular or surprising entities narrowed down to any demographic of interest (e.g., "What are male teens talking about in Toronto?" or "What were financiers in Texas blogging about during the previous week?"). Stories can be interactively explored in a variety of ways, such as modifying their scope, obtaining related content and examining their temporal evolution.

Albert Angel Graduate Student
Nick Koudas Faculty
Nikos Sarkas Graduate Student
Divesh Srivastava AT &T Labs

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Computer Science

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