Extending word highlighting in multiparticipant chat

  • Uthus D
  • Aha D
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We describe initial work on extensions to word highlighting
for multiparticipant chat to aid users in finding messages of
interest, especially during times of high traffic in chat rooms.
We have annotated a corpus of chat messages from a technical
chat domain (Ubuntu{\textquoteright}s technical support), indicating whether
they are related to Ubuntu{\textquoteright}s new desktop environment Unity.
We also created an unsupervised learning algorithm, in which
relations are represented with a graph, and applied this to find
words related to Unity so they can be highlighted in new, unseen
chat messages. On the task of finding relevant messages,
our approach outperformed two baseline approaches that are
similar to current state-of-the-art word highlighting methods
in chat clients.

Author-supplied keywords

  • chat analysis
  • machine learning
  • word highlighting

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  • PUI: 370430481
  • ISBN: 9781577356059
  • SCOPUS: 2-s2.0-84889772786
  • SGR: 84889772786


  • David C Uthus

  • David W Aha

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