{"id":"https://openalex.org/W2400494937","doi":"https://doi.org/10.1109/nlpke.2011.6138211","title":"Latent topic estimation based on events in a document","display_name":"Latent topic estimation based on events in a document","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2400494937","doi":"https://doi.org/10.1109/nlpke.2011.6138211","mag":"2400494937"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2011.6138211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2011.6138211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 7th International Conference on Natural Language Processing and Knowledge Engineering","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/A5038046100","display_name":"Risa Kitajimay","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Risa Kitajimay","raw_affiliation_strings":["Ochanomizu Joshi Daigaku, Bunkyo-ku, Tokyo, JP"],"affiliations":[{"raw_affiliation_string":"Ochanomizu Joshi Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014604304","display_name":"Ichiro Kobayashiz","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Kobayashiz","raw_affiliation_strings":["Ochanomizu Joshi Daigaku, Bunkyo-ku, Tokyo, JP"],"affiliations":[{"raw_affiliation_string":"Ochanomizu Joshi Daigaku, Bunkyo-ku, Tokyo, JP","institution_ids":["https://openalex.org/I26120043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038046100"],"corresponding_institution_ids":["https://openalex.org/I26120043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.32581893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"289","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980999827384949,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/automatic-summarization","display_name":"Automatic summarization","score":0.8023812174797058},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.7906185388565063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7898814678192139},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6695855259895325},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6394563913345337},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5288513898849487},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5058819651603699},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.48834869265556335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48474976420402527},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.443945050239563},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4418971538543701},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4297249913215637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27988308668136597}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8023812174797058},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.7906185388565063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898814678192139},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6695855259895325},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6394563913345337},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5288513898849487},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5058819651603699},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.48834869265556335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48474976420402527},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.443945050239563},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4418971538543701},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4297249913215637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27988308668136597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2011.6138211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2011.6138211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 7th International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W100656083","https://openalex.org/W329257958","https://openalex.org/W1598251544","https://openalex.org/W1880262756","https://openalex.org/W1965555277","https://openalex.org/W1973894278","https://openalex.org/W1974339500","https://openalex.org/W1975579663","https://openalex.org/W1980813323","https://openalex.org/W1998369932","https://openalex.org/W2001082470","https://openalex.org/W2028009320","https://openalex.org/W2057372101","https://openalex.org/W2086921302","https://openalex.org/W2102160377","https://openalex.org/W2107743791","https://openalex.org/W2130428211","https://openalex.org/W2144941913","https://openalex.org/W2146950091","https://openalex.org/W2147152072","https://openalex.org/W2151343603","https://openalex.org/W2158291389","https://openalex.org/W2170177981","https://openalex.org/W2369088042","https://openalex.org/W2396188861","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W6636077830","https://openalex.org/W6639619044","https://openalex.org/W6679563517","https://openalex.org/W6684895408","https://openalex.org/W6712220345"],"related_works":["https://openalex.org/W1551384396","https://openalex.org/W2251863249","https://openalex.org/W4291700620","https://openalex.org/W2132052677","https://openalex.org/W3159709618","https://openalex.org/W2921491680","https://openalex.org/W4396666968","https://openalex.org/W2110027950","https://openalex.org/W2995939990","https://openalex.org/W2726875075"],"abstract_inverted_index":{"Recently,":[0],"several":[1,64,87],"latent":[2,44,74,99,126],"topic":[3,45],"model-based":[4],"methods":[5,21],"such":[6],"as":[7,111],"LSI,":[8],"pLSI,":[9],"and":[10,27,69,90],"LDA":[11],"have":[12],"been":[13],"widely":[14],"used":[15],"for":[16],"text":[17],"analysis.":[18],"However,":[19],"those":[20],"basically":[22],"assign":[23],"topics":[24,50,75,100],"to":[25,51,66,97],"words,":[26],"therefore":[28],"the":[29,55,70,79],"relationship":[30],"between":[31,57],"words":[32,58],"in":[33,59,101],"a":[34,43,60,102,105,121],"document":[35,103,107],"is":[36],"not":[37],"considered.":[38],"Considering":[39],"this,":[40],"we":[41,85,118],"propose":[42,86],"extraction":[46],"method":[47],"which":[48,92],"assigns":[49],"events":[52],"that":[53],"represent":[54],"relation":[56],"document.":[61],"There":[62],"are":[63],"ways":[65],"express":[67],"events,":[68],"accuracy":[71],"of":[72,81,114],"estimating":[73],"differs":[76],"depending":[77],"on":[78,125],"definition":[80],"an":[82,112],"event.":[83],"Therefore,":[84],"event":[88,93],"types":[89],"examine":[91],"type":[94],"works":[95],"well":[96],"estimate":[98],"with":[104],"common":[106],"retrieval":[108],"task.":[109],"Furthermore,":[110],"application":[113],"our":[115],"proposed":[116],"method,":[117],"also":[119],"show":[120],"multi-document":[122],"summarization":[123],"based":[124],"topics.":[127]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
