runSits: Runs SITS model

In erossiter/sitsr: R wrapper for SITS

Description

Runs locally saved SITS model by calling commands to the Terminal using the RStudio API package.

Usage

runSits(sitsPath, corpusName, sitsCorpusPath, outputPath, K, alpha, beta, gam,
  burnIn, maxIter, sampleLag)

Arguments

sitsPath	Path to locally saved SITS package.
corpusName	Name of corpus (specified in prepConversations function)
sitsCorpusPath	Path to prepared SITS corpus (specified in prepConversations function)
outputPath	Desired path of SITS model output
K	Number of topics
alpha	Hyperparameter for Dirichlet prior on document topic proportions
beta	Hyperparameter for Dirichlet prior on topic word probabilities
gam	Hyperparameter for Beta prior on speaker topic shift behavior
burnIn	Number of burn in iterations
maxIter	Maximum number of iterations
sampleLag	Number of iterations to lag sample collection

Value

List indicating user provided model specifications and the path where SITS results were saved locally.

References

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.

erossiter/sitsr documentation built on May 23, 2019, 7:34 a.m.