{"id":"https://openalex.org/W2029102393","doi":"https://doi.org/10.1109/bigdata.2013.6691745","title":"Tree Labeled LDA: A Hierarchical model for web summaries","display_name":"Tree Labeled LDA: A Hierarchical model for web summaries","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2029102393","doi":"https://doi.org/10.1109/bigdata.2013.6691745","mag":"2029102393"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","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/A5068810372","display_name":"Anton Slutsky","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anton Slutsky","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","College of Information Science & Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Information Science & Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","College of Information Science & Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Information Science & Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102963623","display_name":"Yuan An","orcid":"https://orcid.org/0000-0002-3634-9744"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan An","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","College of Information Science & Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Information Science & Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068810372"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":2.4268,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90919577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.9451064467430115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8463929295539856},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.615489661693573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757641196250916},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5687313675880432},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5036537051200867},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46818530559539795},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4592795670032501},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45770809054374695},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4179622232913971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34187039732933044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32603293657302856},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.23972374200820923},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.18908172845840454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07120835781097412}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9451064467430115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8463929295539856},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.615489661693573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757641196250916},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5687313675880432},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5036537051200867},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46818530559539795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4592795670032501},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45770809054374695},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4179622232913971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34187039732933044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32603293657302856},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.23972374200820923},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.18908172845840454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07120835781097412},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","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":15,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1880262756","https://openalex.org/W1969486090","https://openalex.org/W1971883301","https://openalex.org/W1985521324","https://openalex.org/W2098062695","https://openalex.org/W2102150019","https://openalex.org/W2105179799","https://openalex.org/W2116137244","https://openalex.org/W2132827946","https://openalex.org/W3003241580","https://openalex.org/W4237791300","https://openalex.org/W6674735981","https://openalex.org/W6675687819","https://openalex.org/W6677121468"],"related_works":["https://openalex.org/W4293734197","https://openalex.org/W2169401934","https://openalex.org/W4206967254","https://openalex.org/W2131689821","https://openalex.org/W3117044075","https://openalex.org/W1498269992","https://openalex.org/W2501642273","https://openalex.org/W2278712165","https://openalex.org/W2168471263","https://openalex.org/W4387876786"],"abstract_inverted_index":{"We":[0,15,64],"study":[1],"the":[2,10,18,47,66],"applications":[3],"of":[4,12,21,46,68,75,95,113,127],"hierarchical":[5],"topic":[6,35,52,70,103],"models":[7,36,53,104],"to":[8,33],"represent":[9],"content":[11],"website":[13],"summaries.":[14],"concentrate":[16],"on":[17],"DMOZ":[19],"collection":[20],"Web":[22],"extracts":[23],"and":[24,50,58,87,90,97,119],"propose":[25],"a":[26],"novel":[27],"Tree":[28],"Labeled":[29,82],"LDA":[30,86],"(tLLDA)":[31],"algorithm":[32,43],"infer":[34],"using":[37],"its":[38],"manually":[39],"compiled":[40],"ontology.":[41],"The":[42],"takes":[44],"advantage":[45],"ontology":[48,59],"structure":[49],"infers":[51],"by":[54,106],"jointly":[55],"modeling":[56,71],"word":[57],"node":[60],"assignments":[61],"for":[62,115],"documents.":[63],"evaluate":[65],"performance":[67],"our":[69],"approach":[72],"against":[73],"that":[74,102],"four":[76],"state-of-the-art":[77],"algorithms":[78,110],"(Labeled":[79],"LDA,":[80,83],"Hierarchically":[81,84],"Supervised":[85,88],"LDA)":[89],"show":[91],"improvement":[92],"in":[93,111,125],"terms":[94,112,126],"perplexity":[96,114],"accuracy.":[98,128],"Our":[99],"evaluation":[100],"shows":[101],"produced":[105],"tLLDA":[107],"outperform":[108],"other":[109],"all":[116,120],"test":[117,123],"sets":[118],"but":[121],"one":[122],"case":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"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":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}