Description Usage Arguments Value References See Also
Reads locally saved model output from runSits function and returns parameter estimates of interest.
1 | readSits(model)
|
model |
List of model specifications output from runSits function. |
List of estimated model parameters and useful summaries of the data including
agenda_setting |
Last iteration of the agenda-setting measure for each speaker |
topic_shifting |
Last iteration of topic shift indicator for each speaking turn |
logbeta |
K x V matrix of the log of the word probabilities for each topic |
wordcounts |
Vector of word counts |
Nguyen, Viet-An, Jordan Boyd-Graber and Philip Resnik. 2012. SITS: A hierarchical nonparametric model using speaker identity for topic segmentation in multiparty conversations. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1. Association for Computational Linguistics pp. 78<e2><80><93>87.
Nguyen, Viet-An, Jordan Boyd-Graber, Philip Resnik, Deborah A Cai, Jennifer E Midberry and Yuanxin Wang. 2014. <e2><80><9c>Modeling topic control to detect influence in conversations using nonparametric topic models.<e2><80><9d> Machine Learning 95(3):381<e2><80><93>421.
Nguyen, Viet-An. 2014. <e2><80><9c>Speaker Identity for Topic Segmentation (SITS).<e2><80><9d> https://github.com/vietansegan/sits.
runSits, prepConversations
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