{"id":"https://openalex.org/W2072644219","doi":"https://doi.org/10.1145/1143844.1143859","title":"Dynamic topic models","display_name":"Dynamic topic models","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2072644219","doi":"https://doi.org/10.1145/1143844.1143859","mag":"2072644219"},"language":"en","primary_location":{"id":"doi:10.1145/1143844.1143859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on Machine learning  - ICML '06","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070920982","display_name":"David M. Blei","orcid":"https://orcid.org/0000-0002-5588-4611"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David M. Blei","raw_affiliation_strings":["Princeton University, Princeton, NJ","Princeton Univ., Princeton , NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton Univ., Princeton , NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060219657","display_name":"John Lafferty","orcid":"https://orcid.org/0000-0002-5929-220X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John D. Lafferty","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh PA","Carnegie-Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070920982"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":44.2425,"has_fulltext":false,"cited_by_count":2365,"citation_normalized_percentile":{"value":0.99869419,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7189450263977051},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6581426858901978},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6087784767150879},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5969148874282837},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5584398508071899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5233858227729797},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5168545842170715},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.5145189166069031},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5041216611862183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4869464635848999},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4105335474014282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3968440294265747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2567477226257324},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1778360903263092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14634057879447937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7189450263977051},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6581426858901978},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6087784767150879},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5969148874282837},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5584398508071899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5233858227729797},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5168545842170715},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.5145189166069031},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5041216611862183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4869464635848999},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4105335474014282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3968440294265747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2567477226257324},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1778360903263092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14634057879447937},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1143844.1143859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on Machine learning  - ICML '06","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:compsci-2036","is_oa":false,"landing_page_url":"http://repository.cmu.edu/compsci/1038","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Department","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.186.4283","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.4283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.princeton.edu:80/%7Eblei/papers/BleiLafferty2009.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.62.2783","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.2783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lb.cs.cmu.edu/People/lafferty/pub/dtm.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.958.2484","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.958.2484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://papers.nips.cc/paper/2906-correlated-topic-models.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1571975558","https://openalex.org/W1601553142","https://openalex.org/W1880262756","https://openalex.org/W1980363510","https://openalex.org/W2001082470","https://openalex.org/W2098126593","https://openalex.org/W2099768828","https://openalex.org/W2103658758","https://openalex.org/W2105934661","https://openalex.org/W2107034620","https://openalex.org/W2112050062","https://openalex.org/W2140124448","https://openalex.org/W2144586791","https://openalex.org/W2151926297","https://openalex.org/W2292609460","https://openalex.org/W2904250115"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2357022711"],"abstract_inverted_index":{"A":[0],"family":[1],"of":[2,14,32,69,83,97],"probabilistic":[3],"time":[4,12],"series":[5],"models":[6,27,68,75,89],"is":[7,22],"developed":[8,51],"to":[9,23,52,64],"analyze":[10],"the":[11,29,33,38,59,81,94,98],"evolution":[13],"topics":[15],"in":[16],"large":[17,85],"document":[18,86],"collections.":[19],"The":[20,88],"approach":[21],"use":[24],"state":[25],"space":[26],"on":[28,43],"natural":[30],"parameters":[31],"multinomial":[34],"distributions":[35],"that":[36],"represent":[37],"topics.":[39,61],"Variational":[40],"approximations":[41],"based":[42],"Kalman":[44],"filters":[45],"and":[46],"nonparametric":[47],"wavelet":[48],"regression":[49],"are":[50,90],"carry":[53],"out":[54],"approximate":[55],"posterior":[56],"inference":[57],"over":[58],"latent":[60],"In":[62],"addition":[63],"giving":[65],"quantitative,":[66],"predictive":[67],"a":[70,77,84],"sequential":[71],"corpus,":[72],"dynamic":[73],"topic":[74],"provide":[76],"qualitative":[78],"window":[79],"into":[80],"contents":[82],"collection.":[87],"demonstrated":[91],"by":[92],"analyzing":[93],"OCR'ed":[95],"archives":[96],"journal":[99],"Science":[100],"from":[101],"1880":[102],"through":[103],"2000.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":34},{"year":2025,"cited_by_count":108},{"year":2024,"cited_by_count":108},{"year":2023,"cited_by_count":108},{"year":2022,"cited_by_count":124},{"year":2021,"cited_by_count":174},{"year":2020,"cited_by_count":158},{"year":2019,"cited_by_count":164},{"year":2018,"cited_by_count":208},{"year":2017,"cited_by_count":188},{"year":2016,"cited_by_count":198},{"year":2015,"cited_by_count":178},{"year":2014,"cited_by_count":138},{"year":2013,"cited_by_count":115},{"year":2012,"cited_by_count":108}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
