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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Twitchell, D.P. Nunamaker Jr., J.F. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of MIS, Arizona Univ., Tucson, AZ, USA (Twitchell, D.P.; Nunamaker, J.F., Jr.) |
| Abstract | The increase in persistent conversations in the form of chat and instant messaging (IM) has presented new opportunities for researchers. This paper describes a method for evaluating and visualizing persistent conversations by creating a speech act profile for conversation participants using speech act theory and concepts from fuzzy logic. This method can be used either to score a participant based on possible intentions or to create a visual map of those intentions. Transcripts from the Switchboard corpus, which have been marked up with speech act labels according to a SWBD-DAMSL tag set of 42 tags, are used to train language models and a modified hidden Markov model (HMM) to obtain probabilities for each speech act type for a given sentence. Rather than choosing the speech act with the maximum probability and assigning it to the sentence, the probabilities are aggregated for each conversation participant creating a set of speech act profiles, which can be visualized as a radar graphs. Several example profiles are shown along with possible interpretations. The profiles can be used as an overall picture of a conversation, and may be useful in various analyses of persistent conversations including information retrieval, deception detection, and online technical support monitoring. |
| File Size | 283134 |
| File Format | |
| ISBN | 0769520561 |
| DOI | 10.1109/HICSS.2004.1265283 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-01-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech analysis Hidden Markov models Visualization Fuzzy logic Natural languages Information analysis Information retrieval Image retrieval Radar detection Monitoring |
| Content Type | Text |
| Resource Type | Article |
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