In our research we infer a social network from the chat data by using a few basic heuristics. We then present some preliminary results showing that the inferred social graph may be used to enhance topic identification of a chat room when combined with a latent variable topic model.
%0 Journal Article
%1 keyhere
%A Tuulos, Ville
%A Tirri, Henry
%D 2004
%K chat data imported mining network proj:bk social topic
%T Combining topic models and social networks for chat data mining
%U http://eprints.pascal-network.org/archive/00000149/
@article{keyhere,
added-at = {2007-07-23T20:24:37.000+0200},
author = {Tuulos, Ville and Tirri, Henry},
biburl = {https://www.bibsonomy.org/bibtex/2dd8cc2fb5a4a0720c6eb24a4409cd4c3/wnpxrz},
description = {In our research we infer a social network from the chat data by using a few basic heuristics. We then present some preliminary results showing that the inferred social graph may be used to enhance topic identification of a chat room when combined with a latent variable topic model.},
interhash = {21c1bf3578f8f6ebfaa8d24ebb2b7e38},
intrahash = {dd8cc2fb5a4a0720c6eb24a4409cd4c3},
keywords = {chat data imported mining network proj:bk social topic},
timestamp = {2007-07-23T20:24:37.000+0200},
title = {Combining topic models and social networks for chat data mining
},
typesource = {Simple CitationSource},
url = {http://eprints.pascal-network.org/archive/00000149/},
year = 2004
}