Paper Info
Title
VOXSUP: a social engagement framework
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.
Year
DOI
Venue
2012
10.1145/2339530.2339779
KDD
Keywords
Field
DocType
entire online social landscape,social media web,knowledge discovery,major online social media,unified social engagement framework,central hub,voxsupian knowledge discovery,filters social data,social conversation,live voxsup system,topic model,opinion mining,social media
Data mining,World Wide Web,Social media,Computer science,Sentiment analysis,Demographics,Knowledge extraction,Social engagement,Socialization,Topic model,The Internet
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Yusheng Xie19514.63
Daniel Honbo2736.38
Alok N. Choudhary324222.44
Kunpeng Zhang415626.02
Yu Cheng561555.76
Ankit Agrawal660759.22