{"id":"https://openalex.org/W2507634323","doi":"https://doi.org/10.18653/v1/p16-3007","title":"Improving Topic Model Clustering of Newspaper Comments for Summarisation","display_name":"Improving Topic Model Clustering of Newspaper Comments for Summarisation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2507634323","doi":"https://doi.org/10.18653/v1/p16-3007","mag":"2507634323"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-3007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-3007","pdf_url":"https://doi.org/10.18653/v1/p16-3007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2016 Student Research Workshop","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/p16-3007","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103167104","display_name":"Clare Llewellyn","orcid":"https://orcid.org/0000-0002-3589-9517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clare Llewellyn","raw_affiliation_strings":["School of Social and Political Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Social and Political Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108653041","display_name":"Claire Grover","orcid":"https://orcid.org/0000-0001-7019-1250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claire Grover","raw_affiliation_strings":["School of Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067101640","display_name":"Jon Oberlander","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon Oberlander","raw_affiliation_strings":["School of Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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":0.9951000213623047,"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/newspaper","display_name":"Newspaper","score":0.8095697164535522},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7689175605773926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7625092267990112},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5044735670089722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38414090871810913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3283098638057709},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.10313624143600464}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.8095697164535522},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7689175605773926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625092267990112},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5044735670089722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38414090871810913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3283098638057709},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.10313624143600464},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p16-3007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-3007","pdf_url":"https://doi.org/10.18653/v1/p16-3007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2016 Student Research Workshop","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/73bb8a22-a19f-4bca-a3d8-09bdfeaef4a5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/73bb8a22-a19f-4bca-a3d8-09bdfeaef4a5","pdf_url":"https://www.research.ed.ac.uk/files/26862099/lrecFinal.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Llewellyn, C, Grover, C & Oberlander, J 2016, Improving Topic Model Clustering of Newspaper Comments for Summarisation. in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics \u2013 Student Research Workshop. pp. 43-50, 54th Annual Meeting of the Association for Computational Linguistics \u2013 Student Research Workshop, Berlin, Berlin, Germany, 7/08/16. https://doi.org/10.18653/v1/P16-3007","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/73bb8a22-a19f-4bca-a3d8-09bdfeaef4a5","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/73bb8a22-a19f-4bca-a3d8-09bdfeaef4a5","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Llewellyn, C, Grover, C & Oberlander, J 2016, Improving Topic Model Clustering of Newspaper Comments for Summarisation. in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics \u2013 Student Research Workshop. pp. 43-50, 54th Annual Meeting of the Association for Computational Linguistics \u2013 Student Research Workshop, Berlin, Berlin, Germany, 7/08/16. https://doi.org/10.18653/v1/P16-3007","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/73bb8a22-a19f-4bca-a3d8-09bdfeaef4a5","is_oa":true,"landing_page_url":"http://www.aclweb.org/anthology/P16-3007","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/p16-3007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-3007","pdf_url":"https://doi.org/10.18653/v1/p16-3007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2016 Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W159693449","https://openalex.org/W1529669196","https://openalex.org/W1814922127","https://openalex.org/W1880262756","https://openalex.org/W1901600440","https://openalex.org/W1976975519","https://openalex.org/W1980813323","https://openalex.org/W2003184546","https://openalex.org/W2026551498","https://openalex.org/W2081056190","https://openalex.org/W2101890001","https://openalex.org/W2110055256","https://openalex.org/W2120379285","https://openalex.org/W2144100511","https://openalex.org/W2161356093","https://openalex.org/W2166322082","https://openalex.org/W2170505850","https://openalex.org/W2178253768","https://openalex.org/W2249595199","https://openalex.org/W2251434949","https://openalex.org/W2420602380","https://openalex.org/W2486235263","https://openalex.org/W2535726973","https://openalex.org/W2963104156"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W612150824","https://openalex.org/W2361959990","https://openalex.org/W2100945520","https://openalex.org/W1596512750","https://openalex.org/W2383443050","https://openalex.org/W2367702734","https://openalex.org/W644339423","https://openalex.org/W2386525189","https://openalex.org/W2360284199"],"abstract_inverted_index":{"Online":[0],"newspaper":[1],"articles":[2],"can":[3,23,90],"accumulate":[4],"comments":[5,15,92,107,109],"at":[6,18],"volumes":[7],"that":[8,105,110],"prevent":[9],"close":[10],"reading.":[11],"Summarisation":[12],"of":[13,28,54,71,83,101],"the":[14,29,46,69,74,81,99,115],"allows":[16],"interaction":[17],"a":[19,51,77],"higher":[20],"level":[21],"and":[22,39,68],"lead":[24],"to":[25,93,97,112],"an":[26],"understanding":[27],"overall":[30],"discussion.":[31],"Comment":[32,56],"summarisation":[33],"requires":[34],"topic":[35],"clustering,":[36],"comment":[37],"ranking":[38],"extraction.":[40],"Clustering":[41],"must":[42],"be":[43],"robust":[44],"as":[45,58],"subsequent":[47],"extraction":[48],"relies":[49],"on":[50,80],"good":[52],"set":[53],"clusters.":[55,102,118],"data,":[57],"with":[59,108],"many":[60],"social":[61],"media":[62],"datasets,":[63],"contains":[64],"very":[65],"short":[66],"documents":[67,75,96],"number":[70],"words":[72],"in":[73],"is":[76],"limiting":[78],"factors":[79],"performance":[82],"LDA":[84],"clustering.":[85],"We":[86,103],"evaluate":[87],"whether":[88],"we":[89],"combine":[91],"form":[94],"larger":[95],"improve":[98],"quality":[100,117],"find":[104],"combining":[106],"reply":[111],"them":[113],"produce":[114],"highest":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
