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  "Title": "Clustering of Short Texts by Mixture of Unigrams and Its Deep\nExtensions",
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  "Authors@R": "c(\nperson(\"Martin\", \"D'Ippolito\", email = \"martinmy69@gmail.com\", role = c(\"aut\",\"cre\")),\nperson(\"Anderlucci\", \"Laura\", email = \"laura.anderlucci@unibo.it\", role = \"aut\"),\nperson(\"Cinzia\", \"Viroli\", email = \"cinzia.viroli@unibo.it\", role = \"aut\"))",
  "Description": "Functions providing an easy and intuitive way for fitting\nand clusters data using the Mixture of Unigrams models by means\nthe Expectation-Maximization algorithm (Nigam, K. et al.\n(2000). <doi:10.1023/A:1007692713085>), Mixture of\nDirichlet-Multinomials estimated by Gradient Descent\n(Anderlucci, Viroli (2020) <doi:10.1007/s11634-020-00399-3>)\nand Deep Mixture of Multinomials whose estimates are obtained\nwith Gibbs sampling scheme (Viroli, Anderlucci (2020)\n<doi:10.1007/s11222-020-09989-9>). There are also functions for\ngraphical representation of clusters obtained.",
  "License": "GPL-3",
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  "Author": "Martin D'Ippolito [aut, cre], Anderlucci Laura [aut], Cinzia\nViroli [aut]",
  "Maintainer": "Martin D'Ippolito <martinmy69@gmail.com>",
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  "Date/Publication": "2021-03-04 01:30:02 UTC",
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      "title": "Abstracts dataset",
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