{"id":"https://openalex.org/W2786606632","doi":"https://doi.org/10.1109/ict-dm.2017.8275670","title":"Relevancy assessment of tweets using supervised learning techniques: Mining emergency related tweets for automated relevancy classification","display_name":"Relevancy assessment of tweets using supervised learning techniques: Mining emergency related tweets for automated relevancy classification","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786606632","doi":"https://doi.org/10.1109/ict-dm.2017.8275670","mag":"2786606632"},"language":"en","primary_location":{"id":"doi:10.1109/ict-dm.2017.8275670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm.2017.8275670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","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/A5004970052","display_name":"Matthias Habdank","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Habdank","raw_affiliation_strings":["C.I.K., University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"C.I.K., University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085084447","display_name":"Nikolai Rodehutskors","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nikolai Rodehutskors","raw_affiliation_strings":["C.I.K., University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"C.I.K., University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063263019","display_name":"Rainer Koch","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Koch","raw_affiliation_strings":["C.I.K., University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"C.I.K., University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004970052"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":1.4504,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87327473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983999729156494,"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":0.9983999729156494,"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/T11121","display_name":"Public Relations and Crisis Communication","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7615787982940674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239794731140137},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5199114680290222},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5101845264434814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4620034396648407},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4548954367637634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44587117433547974},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43157482147216797},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.395262748003006},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3708208501338959},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07639023661613464}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7615787982940674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239794731140137},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5199114680290222},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5101845264434814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4620034396648407},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4548954367637634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44587117433547974},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43157482147216797},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.395262748003006},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3708208501338959},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07639023661613464},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict-dm.2017.8275670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm.2017.8275670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7599999904632568,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1549229937","https://openalex.org/W2012903341","https://openalex.org/W2064794832","https://openalex.org/W2105736812","https://openalex.org/W2117364842","https://openalex.org/W2133046612","https://openalex.org/W2166706824","https://openalex.org/W2181558140","https://openalex.org/W2288592915","https://openalex.org/W2299955544","https://openalex.org/W2415191695","https://openalex.org/W2494222262","https://openalex.org/W2588383863","https://openalex.org/W2753018319","https://openalex.org/W2787894218","https://openalex.org/W2911964244","https://openalex.org/W3021978794","https://openalex.org/W3150204026","https://openalex.org/W3152273842","https://openalex.org/W6633011237","https://openalex.org/W6667125105","https://openalex.org/W6676114323","https://openalex.org/W6685484187","https://openalex.org/W6743537369"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1990545028","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W2361979572","https://openalex.org/W4285328440","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4313644201"],"abstract_inverted_index":{"Social":[0],"media":[1,71],"provides":[2],"an":[3,52],"abundance":[4],"of":[5,22,69,86],"information":[6,23,34],"that":[7,35,93,110],"can":[8,36,97],"be":[9],"vital":[10],"to":[11,31,60,115],"emergency":[12,28],"services.":[13],"Especially":[14],"during":[15,73],"large-scale":[16],"emergencies":[17],"and":[18,27,83,107],"disasters":[19],"this":[20,45],"amount":[21],"rises":[24],"even":[25],"more":[26],"services":[29],"struggle":[30],"find":[32],"relevant":[33],"support":[37],"their":[38],"current":[39],"operations.":[40],"The":[41],"approach":[42],"described":[43],"in":[44,54,57,102],"paper":[46],"uses":[47],"Twitter":[48],"generated":[49],"data":[50],"from":[51],"incident":[53],"Ludwigshafen,":[55],"Germany":[56],"October":[58],"2016":[59],"evaluate":[61],"machine":[62,94],"learning":[63,95],"approaches":[64,96],"for":[65],"the":[66,84,103],"relevancy":[67,105],"assessment":[68],"social":[70],"content":[72],"emergencies.":[74],"Not":[75],"only":[76],"different":[77],"classifiers,":[78],"but":[79],"also":[80],"several":[81],"vectorizers":[82],"use":[85],"n-grams":[87],"are":[88],"regarded.":[89],"It":[90],"is":[91],"found":[92],"achieve":[98],"very":[99],"good":[100],"results":[101],"automatic":[104],"classification":[106],"offer":[108],"techniques":[109],"provide":[111],"realtime":[112],"quality":[113],"assessments":[114],"emergency-services.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}