{"id":"https://openalex.org/W2144989404","doi":"https://doi.org/10.3115/v1/d14-1212","title":"Online topic model for Twitter considering dynamics of user interests and topic trends","display_name":"Online topic model for Twitter considering dynamics of user interests and topic trends","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2144989404","doi":"https://doi.org/10.3115/v1/d14-1212","mag":"2144989404"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1212","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1212","pdf_url":"https://aclanthology.org/D14-1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1212.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102422980","display_name":"Kentaro Sasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Sasaki","raw_affiliation_strings":["Graduate School of Engineering Nagoya University","Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Nagoya University","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105919015","display_name":"Tomohiro Yoshikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Yoshikawa","raw_affiliation_strings":["Graduate School of Engineering Nagoya University","Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Nagoya University","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101660124","display_name":"Takeshi Furuhashi","orcid":"https://orcid.org/0000-0001-7935-5434"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Furuhashi","raw_affiliation_strings":["Graduate School of Engineering Nagoya University","Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Nagoya University","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":3.7706,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.94394753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1977","last_page":"1985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9824000000953674,"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/dynamics","display_name":"Dynamics (music)","score":0.673795223236084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717662811279297},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5498051643371582},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4502246081829071},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.4406373202800751},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.42558449506759644},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4050557017326355},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.28669610619544983},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1150963306427002}],"concepts":[{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.673795223236084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717662811279297},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5498051643371582},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4502246081829071},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.4406373202800751},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.42558449506759644},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4050557017326355},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28669610619544983},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1150963306427002},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/d14-1212","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1212","pdf_url":"https://aclanthology.org/D14-1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.7738","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.7738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014212.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.3266","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.3266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1212.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1212","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1212","pdf_url":"https://aclanthology.org/D14-1212.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2144989404.pdf","grobid_xml":"https://content.openalex.org/works/W2144989404.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W165968472","https://openalex.org/W184758014","https://openalex.org/W190008395","https://openalex.org/W1540921703","https://openalex.org/W1627117674","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2046677795","https://openalex.org/W2063904635","https://openalex.org/W2072644219","https://openalex.org/W2076219102","https://openalex.org/W2104210067","https://openalex.org/W2110642088","https://openalex.org/W2124499489","https://openalex.org/W2137553870","https://openalex.org/W2165599843","https://openalex.org/W2168332560","https://openalex.org/W2171343266","https://openalex.org/W2250899105","https://openalex.org/W2288972158","https://openalex.org/W4231510805"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2122605835","https://openalex.org/W1463179486","https://openalex.org/W2380144016","https://openalex.org/W120485128","https://openalex.org/W2533808799","https://openalex.org/W2003784512","https://openalex.org/W2428086900","https://openalex.org/W3006992096","https://openalex.org/W2018189020"],"abstract_inverted_index":{"Latent":[0],"Dirichlet":[1],"allocation":[2],"(LDA)":[3],"is":[4,25,62,70],"a":[5,37,40,46,51],"topic":[6,65,102,122,128],"model":[7,89,130],"that":[8,60],"has":[9,54,58],"been":[10,55],"applied":[11,26],"to":[12,27,114],"various":[13],"fields,":[14],"including":[15],"user":[16,38,119],"profiling":[17],"and":[18,57,104,121],"event":[19],"summarization":[20],"on":[21,126],"Twitter.":[22],"When":[23],"LDA":[24],"tweet":[28,48],"collections,":[29],"it":[30,61,113],"generally":[31],"treats":[32],"all":[33],"aggregated":[34],"tweets":[35,94],"of":[36,50,73,93,118],"as":[39],"single":[41,47,52],"document.":[42],"Twitter-LDA,":[43],"which":[44,132],"assumes":[45],"consists":[49],"topic,":[53],"proposed":[56],"shown":[59],"superior":[63],"in":[64,82],"semantic":[66],"coherence.":[67],"However,":[68],"Twitter-LDA":[69,81],"not":[71],"capable":[72],"online":[74,124],"inference.":[75],"In":[76],"this":[77],"study,":[78],"we":[79,88,111],"extend":[80],"the":[83,90,99,116,127],"following":[84],"two":[85],"ways.":[86],"First,":[87],"generation":[91],"process":[92],"more":[95],"accurately":[96],"by":[97],"estimating":[98],"ratio":[100],"between":[101],"words":[103,106],"general":[105],"for":[107],"each":[108],"user.":[109],"Second,":[110],"enable":[112],"estimate":[115],"dynamics":[117],"interests":[120],"trends":[123],"based":[125],"tracking":[129],"(TTM),":[131],"models":[133],"consumer":[134],"purchase":[135],"behaviors.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
