{"id":"https://openalex.org/W2250533720","doi":"https://doi.org/10.3115/v1/e14-1056","title":"Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality","display_name":"Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250533720","doi":"https://doi.org/10.3115/v1/e14-1056","mag":"2250533720"},"language":"en","primary_location":{"id":"doi:10.3115/v1/e14-1056","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1056","pdf_url":"https://doi.org/10.3115/v1/e14-1056","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/e14-1056","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032767467","display_name":"Jey Han Lau","orcid":"https://orcid.org/0000-0002-1647-4628"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jey Han Lau","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103265394","display_name":"David Newman","orcid":"https://orcid.org/0000-0002-4642-6432"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Newman","raw_affiliation_strings":["Google,,,,,"],"affiliations":[{"raw_affiliation_string":"Google,,,,,","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060332228","display_name":"Timothy Baldwin","orcid":"https://orcid.org/0000-0003-4525-6950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timothy Baldwin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032767467"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":42.6235,"has_fulltext":false,"cited_by_count":569,"citation_normalized_percentile":{"value":0.99837608,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"530","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9197653532028198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8434171080589294},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.8407278060913086},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5332605242729187},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.49079975485801697},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48538124561309814},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4575234651565552},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3913203179836273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.390667200088501},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35512775182724}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9197653532028198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434171080589294},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.8407278060913086},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5332605242729187},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.49079975485801697},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48538124561309814},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4575234651565552},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3913203179836273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.390667200088501},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35512775182724},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/e14-1056","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1056","pdf_url":"https://doi.org/10.3115/v1/e14-1056","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.668.8484","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.8484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/E/E14/E14-1056.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/e14-1056","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1056","pdf_url":"https://doi.org/10.3115/v1/e14-1056","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250533720.pdf","grobid_xml":"https://content.openalex.org/works/W2250533720.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W152260871","https://openalex.org/W1536494821","https://openalex.org/W1548839708","https://openalex.org/W1561887350","https://openalex.org/W1794807579","https://openalex.org/W1880262756","https://openalex.org/W1897587124","https://openalex.org/W1975579663","https://openalex.org/W1981231959","https://openalex.org/W2035720976","https://openalex.org/W2107743791","https://openalex.org/W2112050062","https://openalex.org/W2113499583","https://openalex.org/W2116229791","https://openalex.org/W2119650157","https://openalex.org/W2130339025","https://openalex.org/W2147946282","https://openalex.org/W2152706498","https://openalex.org/W2159426623","https://openalex.org/W2166354010","https://openalex.org/W2168579166","https://openalex.org/W2169606435","https://openalex.org/W2250448630","https://openalex.org/W2250899105","https://openalex.org/W2251582277","https://openalex.org/W2803437449"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3005513013","https://openalex.org/W2611137333","https://openalex.org/W4317422773","https://openalex.org/W4291700620"],"abstract_inverted_index":{"Topic":[0],"models":[1],"based":[2],"on":[3,65],"latent":[4],"Dirichlet":[5],"al-location":[6],"and":[7,21,34,55,62,83],"related":[8],"methods":[9],"are":[10],"used":[11],"in":[12,74],"a":[13],"range":[14],"of":[15,26,30,49,52,58],"user-focused":[16],"tasks":[17,48],"including":[18],"doc-ument":[19],"navigation":[20],"trend":[22],"analysis,":[23],"but":[24],"evaluation":[25,51,57],"the":[27,31,46,66,71],"intrinsic":[28],"quality":[29],"topic":[32,60,82,84],"model":[33,85],"topics":[35,54],"remains":[36],"an":[37,78],"open":[38],"research":[39],"area.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"explore":[45],"two":[47,72],"automatic":[50,56],"single":[53],"whole":[59],"models,":[61],"provide":[63],"recom-mendations":[64],"best":[67],"strategy":[68],"for":[69,81],"per-forming":[70],"tasks,":[73],"addition":[75],"to":[76],"pro-viding":[77],"open-source":[79],"toolkit":[80],"evaluation.":[86],"1":[87]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":56},{"year":2023,"cited_by_count":62},{"year":2022,"cited_by_count":57},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":56},{"year":2019,"cited_by_count":57},{"year":2018,"cited_by_count":56},{"year":2017,"cited_by_count":42},{"year":2016,"cited_by_count":28},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
