{ "_id": "6a1f0fa2b401979e7341d615", "Package": "keyATM", "Version": "0.5.5", "Title": "Keyword Assisted Topic Models", "Description": "Fits keyword assisted topic models (keyATM) using\ncollapsed Gibbs samplers. The keyATM combines the latent\ndirichlet allocation (LDA) models with a small number of\nkeywords selected by researchers in order to improve the\ninterpretability and topic classification of the LDA. The\nkeyATM can also incorporate covariates and directly model time\ntrends. The keyATM is proposed in Eshima, Imai, and Sasaki\n(2024) .", "Authors@R": "c(person(\"Shusei\", \"Eshima\", email = \"shuseieshima@gmail.com\", role = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0003-3613-4046\")),\nperson(\"Tomoya\", \"Sasaki\", email = \"tomoyas@mit.edu\", role = c(\"aut\")),\nperson(\"Kosuke\", \"Imai\", email = \"imai@harvard.edu\", role = c(\"aut\")),\nperson(\"Chung-hong\", \"Chan\", email = \"chainsawtiney@gmail.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-6232-7530\")),\nperson(given = \"Romain\", family = \"François\", role = \"ctb\", comment = c(ORCID = \"0000-0002-2444-4226\")),\nperson(given = \"Martin\", family = \"Feldkircher\", role = \"ctb\", comment = c(ORCID = \"0000-0002-5511-9215\")),\nperson(\"William\", \"Lowe\", email = \"wlowe@princeton.edu\", role = c(\"ctb\")),\nperson(\"Seo-young Silvia\", \"Kim\", email = \"sy.silvia.kim@gmail.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-8801-9210\")))", "License": "GPL-3", 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