{"id":"https://openalex.org/W1852040463","doi":"https://doi.org/10.1007/3-540-45683-x_47","title":"Topic Extraction from Text Documents Using Multiple-Cause Networks","display_name":"Topic Extraction from Text Documents Using Multiple-Cause Networks","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1852040463","doi":"https://doi.org/10.1007/3-540-45683-x_47","mag":"1852040463"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45683-x_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45683-x_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5058785880","display_name":"Jeong-Ho Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Ho Chang","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Seoul, Korea, 151-742"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Seoul, Korea, 151-742","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330928","display_name":"Jae\u2010Won Lee","orcid":"https://orcid.org/0000-0003-0438-6732"},"institutions":[{"id":"https://openalex.org/I165677929","display_name":"Sungshin Women's University","ror":"https://ror.org/0500xzf72","country_code":"KR","type":"education","lineage":["https://openalex.org/I165677929"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Won Lee","raw_affiliation_strings":["School of Computer Science and Engineering, Sungshin Women\u2019s University, Seoul, Korea, 136-742","School of Computer Science and Engineering, Sungshin Women's University, Seoul, Korea, 136-742"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sungshin Women\u2019s University, Seoul, Korea, 136-742","institution_ids":["https://openalex.org/I165677929"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sungshin Women's University, Seoul, Korea, 136-742","institution_ids":["https://openalex.org/I165677929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045849725","display_name":"Yuseop Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yuseop Kim","raw_affiliation_strings":["Ewha Institute of Science and Technology, Ewha Woman\u2019s University, Seoul, Korea, 120-750","Ewha Institute of Science and Technology, Ewha Woman's University, Seoul, Korea, 120-750"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Institute of Science and Technology, Ewha Woman\u2019s University, Seoul, Korea, 120-750","institution_ids":["https://openalex.org/I138925566"]},{"raw_affiliation_string":"Ewha Institute of Science and Technology, Ewha Woman's University, Seoul, Korea, 120-750","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050928023","display_name":"Byoung\u2010Tak Zhang","orcid":"https://orcid.org/0000-0001-9890-0389"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byoung-Tak Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Seoul, Korea, 151-742"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Seoul, Korea, 151-742","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5615,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61695826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"434","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"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":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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":0.8956485986709595},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6965272426605225},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6437217593193054},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6041749715805054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424289703369141},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.529405951499939},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5031279921531677},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.49225011467933655},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.46399280428886414},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4589657783508301},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4485522508621216},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3892245590686798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34740543365478516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34679335355758667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8956485986709595},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6965272426605225},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6437217593193054},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6041749715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424289703369141},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.529405951499939},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5031279921531677},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.49225011467933655},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.46399280428886414},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4589657783508301},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4485522508621216},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3892245590686798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34740543365478516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34679335355758667},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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:10.1007/3-540-45683-x_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45683-x_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1902027874","https://openalex.org/W1920003194","https://openalex.org/W1981276685","https://openalex.org/W1993845689","https://openalex.org/W2026799324","https://openalex.org/W2042912927","https://openalex.org/W2107743791","https://openalex.org/W2114153178","https://openalex.org/W2118962631","https://openalex.org/W2147152072","https://openalex.org/W2150218618","https://openalex.org/W2153443573","https://openalex.org/W2999905431","https://openalex.org/W3022628558","https://openalex.org/W4233135949","https://openalex.org/W4301259139"],"related_works":["https://openalex.org/W2776613281","https://openalex.org/W2070797946","https://openalex.org/W4309228610","https://openalex.org/W4248157169","https://openalex.org/W2002320519","https://openalex.org/W3170128756","https://openalex.org/W2948298633","https://openalex.org/W3002687128","https://openalex.org/W2281717416","https://openalex.org/W4294597112"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}