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  1. Proceedings of the 3rd ACM SIGMM international workshop on Social media (WSM '11)
  2. Using social media to identify events
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Mining social media: issues and challenges
Using social media to identify events
Large-scale social media mining in facebook
Multimodal location estimation on Flickr videos
Photo stream alignment for collaborative photo collection and sharing in social media
Sentiment analysis of social media content using N-Gram graphs
IM2MAP: deriving maps from georeferenced community contributed photo collections
Near2me: an authentic and personalized social media-based recommender for travel destinations
Laplacian adaptive context-based SVM for video concept detection
Tag suggestion and localization for web videos by bipartite graph matching
Why do we converse on social media?: an analysis of intrinsic and extrinsic network factors
Chase display of social live streams (SOLISs)

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Using social media to identify events

Content Provider ACM Digital Library
Author Troncy, Raphaƫl Huet, Benoit Liu, Xueliang
Abstract We present a method to automatically detect and identify events from social media sharing web sites. Our approach is based on the observation that many photos and videos are taken and shared when events occur. We select 9 venues across the globe that demonstrate a significant activity according to the EventMedia dataset and we thoroughly evaluate our approach against an official ground truth obtained directly by scraping the event venues' web sites. The results show our ability to not only detect events with high accuracy but also mine and identify events that have not been published in popular event directories such as Last.fm, Eventful or Upcoming. In addition to the textual identification of events, we show how we can build visual summaries of past events providing viewers with a more compelling feeling of the event's atmosphere.
Starting Page 3
Ending Page 8
Page Count 6
File Format PDF
ISBN 9781450309899
DOI 10.1145/2072609.2072613
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-11-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Media ontology Multimedia semantics Events detection
Content Type Text
Resource Type Article
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