{"id":"https://openalex.org/W3010884188","doi":"https://doi.org/10.5220/0008973801830191","title":"Goal-based Evaluation of Text Mining Results in an Industrial Use Case","display_name":"Goal-based Evaluation of Text Mining Results in an Industrial Use Case","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010884188","doi":"https://doi.org/10.5220/0008973801830191","mag":"3010884188"},"language":"en","primary_location":{"id":"doi:10.5220/0008973801830191","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008973801830191","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0008973801830191","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051155800","display_name":"Jens Drawehn","orcid":null},"institutions":[{"id":"https://openalex.org/I3020504353","display_name":"Fraunhofer Institute for Industrial Engineering","ror":"https://ror.org/01nh64743","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3020504353","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jens Drawehn","raw_affiliation_strings":["Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I3020504353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003996125","display_name":"Matthias Blohm","orcid":null},"institutions":[{"id":"https://openalex.org/I3020504353","display_name":"Fraunhofer Institute for Industrial Engineering","ror":"https://ror.org/01nh64743","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3020504353","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Blohm","raw_affiliation_strings":["Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I3020504353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089174489","display_name":"Maximilien Kintz","orcid":null},"institutions":[{"id":"https://openalex.org/I3020504353","display_name":"Fraunhofer Institute for Industrial Engineering","ror":"https://ror.org/01nh64743","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3020504353","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilien Kintz","raw_affiliation_strings":["Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I3020504353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037488261","display_name":"Monika Kochanowski","orcid":null},"institutions":[{"id":"https://openalex.org/I3020504353","display_name":"Fraunhofer Institute for Industrial Engineering","ror":"https://ror.org/01nh64743","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3020504353","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Monika Kochanowski","raw_affiliation_strings":["Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Industrial Engineering IAO, Nobelstra\u00dfe 12, 70569 Stuttgart, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I3020504353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051155800"],"corresponding_institution_ids":["https://openalex.org/I3020504353"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02447418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.288100004196167,"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":0.288100004196167,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.25760000944137573,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.23489999771118164,"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":0.62193363904953},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43389010429382324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38180577754974365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62193363904953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43389010429382324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38180577754974365}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5220/0008973801830191","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008973801830191","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-596203","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-596203.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAO","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/408529","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/408529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/501675","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/501675","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.5220/0008973801830191","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008973801830191","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"boosted":[2],"the":[3,10,82,138,157],"interest":[4],"in":[5,9,15,50,117,174,176],"text":[6,32,53,120,145],"mining":[7,33],"solutions":[8,29],"last":[11],"few":[12],"years.":[13],"Especially":[14],"non-English-speaking":[16],"countries,":[17],"where":[18],"there":[19],"might":[20],"not":[21],"be":[22,160],"clear":[23],"market":[24],"leaders,":[25],"a":[26,93,109,113,133,166],"variety":[27],"of":[28,39,69,105,136,144,154],"for":[30,111,123],"different":[31],"scenarios":[34],"has":[35],"become":[36],"available.":[37],"Most":[38],"them":[40],"support":[41],"special":[42],"use":[43,126,179],"cases":[44],"and":[45,48,165],"have":[46],"strengths":[47],"weaknesses":[49],"others.":[51],"In":[52,128],"or":[54,63,100],"page":[55],"classification,":[56],"standard":[57],"measures":[58],"like":[59,91],"precision,":[60],"recall,":[61],"sensitivity":[62],"F1-score":[64],"are":[65],"prevalent.":[66],"However,":[67],"evaluation":[68,115,163],"feature":[70,86],"extraction":[71,87,121],"results":[72,88],"requires":[73],"more":[74],"tailored":[75,114],"approaches.":[76],"We":[77],"experienced":[78],"many":[79],"issues":[80],"on":[81],"way":[83,135],"to":[84,142,159],"benchmarking":[85],"from":[89],"text,":[90],"whether":[92],"result":[94],"is":[95,108,172],"correct,":[96,98],"partly":[97],"helpful":[99],"useless.":[101],"The":[102],"main":[103],"contribution":[104],"this":[106,129],"work":[107],"method":[110],"designing":[112],"procedure":[116],"an":[118,177],"individual":[119],"benchmark":[122],"one":[124],"specific":[125],"case.":[127,180],"context,":[130],"we":[131,150],"propose":[132],"general":[134],"mapping":[137],"common":[139],"CRISP-DM":[140],"process":[141],"particularities":[143],"mi":[146],"ning":[147],"projects.":[148],"Furthermore,":[149],"describe":[151],"possible":[152],"goals":[153],"information":[155],"extraction,":[156],"features":[158],"extracted,":[161],"suitable":[162],"criteria":[164],"corresponding":[167],"customized":[168],"scoring":[169],"system.":[170],"This":[171],"applied":[173],"detail":[175],"industrial":[178]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
