Abstract
Social media websites are currently central hubs on the Internet. Major online social media platforms are not only places for individual users to socialize but are increasingly more important as channels for companies to advertise, public figures to engage, etc. In order to optimize such advertising and engaging efforts, there is an emerging challenge for knowledge discovery on today's Internet. The goal of knowledge discovery is to understand the entire online social landscape instead of merely summarizing the statistics. To answer this challenge, we have created VOXSUP as a unified social engagement framework. Unlike most existing tools, VOXSUP not only aggregates and filters social data from the Internet, but also provides what we call Voxsupian Knowledge Discovery (VKD). VKD consists of an almost human-level understanding of social conversations at any level of granularity from a single comment sentiment to multi-lingual inter-platform user demographics. Here we describe the technologies that are crucial to VKD, and subsequently go beyond experimental verification and present case studies from our live VOXSUP system.
Original language | English (US) |
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Title of host publication | KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
Pages | 1556-1559 |
Number of pages | 4 |
DOIs | |
State | Published - Sep 14 2012 |
Event | 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012 - Beijing, China Duration: Aug 12 2012 → Aug 16 2012 |
Other
Other | 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012 |
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Country/Territory | China |
City | Beijing |
Period | 8/12/12 → 8/16/12 |
Keywords
- opinion mining
- social ranking
- topic model
ASJC Scopus subject areas
- Software
- Information Systems