{ "_id": "6a630f8cd3420cf5dfdb690d", "Package": "BTM", "Type": "Package", "Title": "Biterm Topic Models for Short Text", "Version": "0.3.8", "Maintainer": "Jan Wijffels ", "Authors@R": "c(\nperson('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = \"R wrapper\"),\nperson('BNOSAC', role = 'cph', comment = \"R wrapper\"),\nperson('Xiaohui Yan', role = c('ctb', 'cph'), email = 'xhcloud@gmail.com', comment = \"BTM C++ library\"))", "Description": "Biterm Topic Models find topics in collections of short\ntexts. It is a word co-occurrence based topic model that learns\ntopics by modeling word-word co-occurrences patterns which are\ncalled biterms. This in contrast to traditional topic models\nlike Latent Dirichlet Allocation and Probabilistic Latent\nSemantic Analysis which are word-document co-occurrence topic\nmodels. A biterm consists of two words co-occurring in the same\nshort text window. This context window can for example be a\ntwitter message, a short answer on a survey, a sentence of a\ntext or a document identifier. The techniques are explained in\ndetail in the paper 'A Biterm Topic Model For Short Text' by\nXiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013)\n.", "License": "Apache License 2.0", "URL": "https://github.com/bnosac/BTM", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Repository": "https://bnosac.r-universe.dev", "Date/Publication": "2025-11-26 19:50:21 UTC", "RemoteUrl": "https://github.com/bnosac/btm", "RemoteRef": "HEAD", "RemoteSha": "ce50e78856d8ec1cba127a5232bd1ad0481930fc", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-24 06:21:21 UTC", "User": "root" }, "Author": "Jan Wijffels [aut, cre, cph] (R wrapper),\nBNOSAC [cph] (R wrapper),\nXiaohui Yan [ctb, cph] (BTM C++ library)", "_user": "bnosac", "_type": "src", "_file": "BTM_0.3.8.tar.gz", "_fileid": "https://r2.ropensci.org/60351ab636fc7787a76d92d33364a1125a5c9be43fd4752413e80603388cbca6", "_filesize": 262801, "_sha256": "60351ab636fc7787a76d92d33364a1125a5c9be43fd4752413e80603388cbca6", "_expires": 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