{"id":"https://openalex.org/W2171515436","doi":"https://doi.org/10.1109/tasl.2010.2102592","title":"Semantic Analysis and Organization of Spoken Documents Based on Parameters Derived From Latent Topics","display_name":"Semantic Analysis and Organization of Spoken Documents Based on Parameters Derived From Latent Topics","publication_year":2011,"publication_date":"2011-01-03","ids":{"openalex":"https://openalex.org/W2171515436","doi":"https://doi.org/10.1109/tasl.2010.2102592","mag":"2171515436"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2010.2102592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2102592","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5052791088","display_name":"Sheng-yi Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Yi Kong","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","Department of Computer Science and Information Engineering, National Taiwan University , Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University , Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044010123","display_name":"Lin-shan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lin-Shan Lee","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","Department of Computer Science and Information Engineering, National Taiwan University , Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University , Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":6.4707,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9662514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"7","first_page":"1875","last_page":"1889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.899846076965332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8381690382957458},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.8272382616996765},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.7950685620307922},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7421046495437622},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6196580529212952},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.5392583012580872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311424136161804},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5162415504455566},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.511116087436676}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.899846076965332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381690382957458},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.8272382616996765},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.7950685620307922},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7421046495437622},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6196580529212952},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.5392583012580872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311424136161804},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5162415504455566},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.511116087436676},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2010.2102592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2010.2102592","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W155735014","https://openalex.org/W219285816","https://openalex.org/W268056222","https://openalex.org/W280462704","https://openalex.org/W345442006","https://openalex.org/W1573514622","https://openalex.org/W1577152877","https://openalex.org/W1612003148","https://openalex.org/W1831406492","https://openalex.org/W1879046967","https://openalex.org/W1880262756","https://openalex.org/W1964731376","https://openalex.org/W1964965102","https://openalex.org/W1966516488","https://openalex.org/W1967082914","https://openalex.org/W1977593346","https://openalex.org/W1978394996","https://openalex.org/W1980813323","https://openalex.org/W1985697096","https://openalex.org/W1987826958","https://openalex.org/W1997636996","https://openalex.org/W1998414250","https://openalex.org/W1999315683","https://openalex.org/W2001780484","https://openalex.org/W2002890640","https://openalex.org/W2007481223","https://openalex.org/W2026162439","https://openalex.org/W2028339364","https://openalex.org/W2034771957","https://openalex.org/W2035454296","https://openalex.org/W2036057797","https://openalex.org/W2038124402","https://openalex.org/W2038456810","https://openalex.org/W2053186076","https://openalex.org/W2055150316","https://openalex.org/W2059745395","https://openalex.org/W2075006521","https://openalex.org/W2081174553","https://openalex.org/W2086290709","https://openalex.org/W2092246763","https://openalex.org/W2094515246","https://openalex.org/W2097321121","https://openalex.org/W2097440732","https://openalex.org/W2099790715","https://openalex.org/W2101119909","https://openalex.org/W2101390659","https://openalex.org/W2102269292","https://openalex.org/W2105079665","https://openalex.org/W2110693578","https://openalex.org/W2112306108","https://openalex.org/W2116869726","https://openalex.org/W2118733980","https://openalex.org/W2119758639","https://openalex.org/W2123220475","https://openalex.org/W2125420881","https://openalex.org/W2125863324","https://openalex.org/W2126527906","https://openalex.org/W2126801264","https://openalex.org/W2127914268","https://openalex.org/W2128672521","https://openalex.org/W2128925311","https://openalex.org/W2129390815","https://openalex.org/W2129434466","https://openalex.org/W2130217807","https://openalex.org/W2139414852","https://openalex.org/W2142343632","https://openalex.org/W2144750001","https://openalex.org/W2145685195","https://openalex.org/W2146959363","https://openalex.org/W2147152072","https://openalex.org/W2147463029","https://openalex.org/W2149175354","https://openalex.org/W2149497493","https://openalex.org/W2154652894","https://openalex.org/W2154872931","https://openalex.org/W2155709906","https://openalex.org/W2162161511","https://openalex.org/W2166347079","https://openalex.org/W2169297889","https://openalex.org/W2169384404","https://openalex.org/W2189552882","https://openalex.org/W2999905431","https://openalex.org/W3099640513","https://openalex.org/W3101913037","https://openalex.org/W3145733519","https://openalex.org/W4237394013","https://openalex.org/W4237791300","https://openalex.org/W6634703522","https://openalex.org/W6636440780","https://openalex.org/W6674691625","https://openalex.org/W6674836197","https://openalex.org/W6677603645","https://openalex.org/W6678201388","https://openalex.org/W6679129906","https://openalex.org/W6681847239","https://openalex.org/W6682135070","https://openalex.org/W6682631176","https://openalex.org/W6683062004","https://openalex.org/W6684930139"],"related_works":["https://openalex.org/W1551384396","https://openalex.org/W2251863249","https://openalex.org/W4291700620","https://openalex.org/W2132052677","https://openalex.org/W2921491680","https://openalex.org/W3159709618","https://openalex.org/W2110027950","https://openalex.org/W2995939990","https://openalex.org/W4214866631","https://openalex.org/W2171515436"],"abstract_inverted_index":{"Spoken":[0],"documents":[1,42,92],"are":[2,6,169],"audio":[3],"signals":[4],"and":[5,12,16,34,56,65,69,88,93,108],"thus":[7],"not":[8,13],"easily":[9,14,129],"displayed":[10],"on-screen":[11],"scanned":[15],"browsed":[17],"by":[18],"the":[19,45,73,125,166,178],"user.":[20],"It":[21],"is":[22,62,139,157],"therefore":[23],"highly":[24],"desirable":[25],"to":[26,43,51,163],"automatically":[27],"construct":[28],"summaries,":[29],"titles,":[30],"latent":[31,102,105,109,136,154],"topic":[32,37,103,106,110,148],"trees":[33],"key":[35],"term-based":[36],"labels":[38],"for":[39,84,94,146,172],"these":[40,115],"spoken":[41,91,133],"aid":[44],"user":[46,126],"in":[47,150,160],"browsing.":[48],"We":[49,80,112],"refer":[50],"this":[52,95],"as":[53,59,141],"semantic":[54,86,137],"analysis":[55,87,138,149,174],"organization.":[57],"Also,":[58],"network":[60],"content":[61],"both":[63],"copious":[64],"dynamic,":[66],"with":[67,123],"topics":[68],"domains":[70],"changing":[71],"everyday,":[72],"approaches":[74],"here":[75],"must":[76],"be":[77,117],"primarily":[78],"unsupervised.":[79],"propose":[81,97],"a":[82,142],"framework":[83],"unsupervised":[85,147],"organization":[89],"of":[90,132,177],"purpose":[96],"two":[98],"measures":[99,168],"derived":[100],"from":[101],"analysis:":[104],"significance":[107],"entropy.":[111],"show":[113,164],"that":[114,165],"can":[116,127],"integrated":[118],"into":[119],"an":[120],"application":[121],"system,":[122],"which":[124],"more":[128],"navigate":[130],"archives":[131],"documents.":[134],"Probabilistic":[135],"used":[140,159],"typical":[143],"example":[144],"approach":[145],"most":[151],"experiments,":[152],"although":[153],"Dirichlet":[155],"allocation":[156],"also":[158],"some":[161],"experiments":[162,179],"proposed":[167],"equally":[170],"applicable":[171],"different":[173],"approaches.":[175],"All":[176],"were":[180],"performed":[181],"on":[182],"Mandarin":[183],"Chinese":[184],"broadcast":[185],"news.":[186]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
