{"id":"https://openalex.org/W3008005426","doi":"https://doi.org/10.1145/3366030.3366079","title":"A Method to Estimate Entity Performance from Mentions to Related Entities in Texts on the Web","display_name":"A Method to Estimate Entity Performance from Mentions to Related Entities in Texts on the Web","publication_year":2019,"publication_date":"2019-12-02","ids":{"openalex":"https://openalex.org/W3008005426","doi":"https://doi.org/10.1145/3366030.3366079","mag":"3008005426"},"language":"en","primary_location":{"id":"doi:10.1145/3366030.3366079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366030.3366079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","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/A5101878077","display_name":"Vanderson Sampaio","orcid":"https://orcid.org/0000-0002-0509-4638"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vanderson S. de O. L. Sampaio","raw_affiliation_strings":["Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil"],"affiliations":[{"raw_affiliation_string":"Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044338780","display_name":"Renato Fileto","orcid":"https://orcid.org/0000-0002-7941-6281"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renato Fileto","raw_affiliation_strings":["Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil"],"affiliations":[{"raw_affiliation_string":"Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080870100","display_name":"Douglas Dyllon Jer\u00f4nimo de Macedo","orcid":"https://orcid.org/0000-0002-3237-4168"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Douglas D. J. de Macedo","raw_affiliation_strings":["Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil"],"affiliations":[{"raw_affiliation_string":"Univ. Federal de Santa Catarina, Florian\u00f3polis, Santa Catarina, Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101878077"],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19856584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"267","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis 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/computer-science","display_name":"Computer science","score":0.8522776365280151},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7394907474517822},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.614292323589325},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.5348417162895203},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4573456943035126},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.43153950572013855},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.4168861508369446},{"id":"https://openalex.org/keywords/performance-measurement","display_name":"Performance measurement","score":0.4104551076889038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2564502954483032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522776365280151},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7394907474517822},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.614292323589325},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.5348417162895203},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4573456943035126},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.43153950572013855},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4168861508369446},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.4104551076889038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2564502954483032},{"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},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366030.3366079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366030.3366079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W764595569","https://openalex.org/W1429301041","https://openalex.org/W1574447377","https://openalex.org/W1582487692","https://openalex.org/W1964189668","https://openalex.org/W2060968456","https://openalex.org/W2062895199","https://openalex.org/W2072807459","https://openalex.org/W2093184537","https://openalex.org/W2104583100","https://openalex.org/W2121002600","https://openalex.org/W2122410182","https://openalex.org/W2127289991","https://openalex.org/W2218244741","https://openalex.org/W2550569494","https://openalex.org/W2575143348","https://openalex.org/W2580795329","https://openalex.org/W3010624202","https://openalex.org/W3105100443","https://openalex.org/W4211186029","https://openalex.org/W4254385701"],"related_works":["https://openalex.org/W2504945331","https://openalex.org/W2612730104","https://openalex.org/W2922743585","https://openalex.org/W2552993916","https://openalex.org/W4220952831","https://openalex.org/W4250448119","https://openalex.org/W3216473211","https://openalex.org/W3208598253","https://openalex.org/W2727493710","https://openalex.org/W37800889"],"abstract_inverted_index":{"Publications":[0],"on":[1,111],"the":[2,6,16,62],"Web":[3],"can":[4,23],"influence":[5],"public":[7],"opinion":[8],"about":[9,55],"certain":[10,100],"entities":[11,56,66,120,132],"(e.g.,":[12,35],"politicians,":[13],"institutions).":[14],"At":[15],"same":[17],"time,":[18],"a":[19,108],"variety":[20],"of":[21,64,86,129],"indicators":[22,54,78],"be":[24],"extracted":[25],"from":[26,76],"these":[27,65,87,96],"publications":[28],"and":[29,94,133],"used":[30],"to":[31,52,98,124,135],"estimate":[32],"entity":[33,103],"performance":[34,63,74,77,127],"popularity,":[36],"votes":[37],"share).":[38],"This":[39],"work":[40],"proposes":[41],"an":[42],"automatic":[43],"method":[44,72],"that":[45,114],"employs":[46],"state-of-the-art":[47],"natural":[48],"language":[49],"processing":[50],"tools":[51],"extract":[53],"mentioned":[57],"in":[58,102,107],"texts,":[59],"for":[60,80,117,140],"estimating":[61],"or":[67],"semantically":[68,81],"related":[69,82],"ones.":[70],"Our":[71],"calculates":[73],"metrics":[75,89,97,116,139],"consolidated":[79,88,115],"entities,":[83],"assess":[84],"correlations":[85],"with":[90],"ground":[91],"true":[92],"performance,":[93],"uses":[95],"predict":[99],"fluctuations":[101],"performance.":[104],"Experimental":[105],"results":[106],"case":[109],"study":[110],"politics":[112],"show":[113],"several":[118],"interrelated":[119],"are":[121],"better":[122,136],"correlated":[123],"observed":[125],"real":[126],"measures":[128],"some":[130],"target":[131],"lead":[134],"predictions,":[137],"than":[138],"just":[141],"one":[142],"entity.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}