{"id":"https://openalex.org/W1993563437","doi":"https://doi.org/10.1007/s13218-012-0224-1","title":"A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)","display_name":"A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)","publication_year":2012,"publication_date":"2012-12-21","ids":{"openalex":"https://openalex.org/W1993563437","doi":"https://doi.org/10.1007/s13218-012-0224-1","mag":"1993563437"},"language":"en","primary_location":{"id":"doi:10.1007/s13218-012-0224-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13218-012-0224-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210234608","display_name":"KI - K\u00fcnstliche Intelligenz","issn_l":"0933-1875","issn":["0933-1875","1610-1987"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KI - K\u00fcnstliche Intelligenz","raw_type":"journal-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/A5080968820","display_name":"Marc Egger","orcid":null},"institutions":[{"id":"https://openalex.org/I180923762","display_name":"University of Cologne","ror":"https://ror.org/00rcxh774","country_code":"DE","type":"education","lineage":["https://openalex.org/I180923762"]},{"id":"https://openalex.org/I1335487337","display_name":"Cologne Institute for Economic Research","ror":"https://ror.org/01a2z2x66","country_code":"DE","type":"education","lineage":["https://openalex.org/I1335487337"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marc Egger","raw_affiliation_strings":["Seminar f\u00fcr Wirtschaftsinformatik und Informationsmanagement, Universit\u00e4t zu K\u00f6ln, Pohligstra\u00dfe 1, 50969, K\u00f6ln, Germany",", Universit\u00e4t zu K\u00f6ln,"],"affiliations":[{"raw_affiliation_string":"Seminar f\u00fcr Wirtschaftsinformatik und Informationsmanagement, Universit\u00e4t zu K\u00f6ln, Pohligstra\u00dfe 1, 50969, K\u00f6ln, Germany","institution_ids":["https://openalex.org/I1335487337","https://openalex.org/I180923762"]},{"raw_affiliation_string":", Universit\u00e4t zu K\u00f6ln,","institution_ids":["https://openalex.org/I180923762"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077357345","display_name":"Andr\u00e9 Lang","orcid":null},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Lang","raw_affiliation_strings":["Insius UG (haftungsbeschr\u00e4nkt), TechnologiePark K\u00f6ln, Eupener Stra\u00dfe 165, 50933, K\u00f6ln, Germany","TechnologiePark K\u00f6ln"],"affiliations":[{"raw_affiliation_string":"Insius UG (haftungsbeschr\u00e4nkt), TechnologiePark K\u00f6ln, Eupener Stra\u00dfe 165, 50933, K\u00f6ln, Germany","institution_ids":["https://openalex.org/I102520234"]},{"raw_affiliation_string":"TechnologiePark K\u00f6ln","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080968820"],"corresponding_institution_ids":["https://openalex.org/I1335487337","https://openalex.org/I180923762"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.3372,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83187995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"27","issue":"1","first_page":"53","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9839000105857849,"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/computer-science","display_name":"Computer science","score":0.754905641078949},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.607170581817627},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5914433002471924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5813351273536682},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.5726492404937744},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5531557202339172},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5328263640403748},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5177723169326782},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4604099690914154},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32770025730133057},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1872352659702301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16202595829963684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0778786838054657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754905641078949},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.607170581817627},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5914433002471924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5813351273536682},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.5726492404937744},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5531557202339172},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5328263640403748},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5177723169326782},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4604099690914154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32770025730133057},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1872352659702301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16202595829963684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0778786838054657},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13218-012-0224-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13218-012-0224-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210234608","display_name":"KI - K\u00fcnstliche Intelligenz","issn_l":"0933-1875","issn":["0933-1875","1610-1987"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KI - K\u00fcnstliche Intelligenz","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1356168","https://openalex.org/W1410460","https://openalex.org/W140325011","https://openalex.org/W140467209","https://openalex.org/W168954559","https://openalex.org/W1500117362","https://openalex.org/W1516293359","https://openalex.org/W1577066650","https://openalex.org/W1613484676","https://openalex.org/W1803802947","https://openalex.org/W1880262756","https://openalex.org/W1951269370","https://openalex.org/W1956559956","https://openalex.org/W1971087915","https://openalex.org/W2006960950","https://openalex.org/W2012575882","https://openalex.org/W2024228866","https://openalex.org/W2036372642","https://openalex.org/W2038201841","https://openalex.org/W2039430662","https://openalex.org/W2080179128","https://openalex.org/W2085582472","https://openalex.org/W2098162425","https://openalex.org/W2109803107","https://openalex.org/W2115035636","https://openalex.org/W2126581182","https://openalex.org/W2141115795","https://openalex.org/W2141631351","https://openalex.org/W2146888100","https://openalex.org/W2154058875","https://openalex.org/W2157316480","https://openalex.org/W2159335442","https://openalex.org/W2159359879","https://openalex.org/W2159457224","https://openalex.org/W2163114435","https://openalex.org/W2166706824","https://openalex.org/W2166915357","https://openalex.org/W2167859982","https://openalex.org/W2169347997","https://openalex.org/W2199803028","https://openalex.org/W2250489604","https://openalex.org/W2603519596","https://openalex.org/W2610881169","https://openalex.org/W2785349534","https://openalex.org/W2789080916","https://openalex.org/W2912168530","https://openalex.org/W2949453732","https://openalex.org/W3123035962","https://openalex.org/W4230872509","https://openalex.org/W4243626155","https://openalex.org/W4285719527","https://openalex.org/W4302114717"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1594844924","https://openalex.org/W2909382770","https://openalex.org/W2143670980","https://openalex.org/W1577931366","https://openalex.org/W2024555427","https://openalex.org/W2357241418","https://openalex.org/W4288808839","https://openalex.org/W2370008978","https://openalex.org/W3091263145"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
