{"id":"https://openalex.org/W4402353659","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650595","title":"Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection","display_name":"Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353659","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650595"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5085044475","display_name":"Lucas Stampe","orcid":"https://orcid.org/0009-0005-3134-6121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucas Stampe","raw_affiliation_strings":["University of Münster,Department of Information Systems,Münster,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Münster,Department of Information Systems,Münster,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107079838","display_name":"Janina L\u00fctke Stockdiek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janina L\u00fctke Stockdiek","raw_affiliation_strings":["University of Münster,Department of Information Systems,Münster,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Münster,Department of Information Systems,Münster,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093257286","display_name":"Britta Grimme","orcid":"https://orcid.org/0009-0008-2282-5130"},"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":"Britta Grimme","raw_affiliation_strings":["Paderborn University,School of Computer Science,Paderborn,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paderborn University,School of Computer Science,Paderborn,Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003026076","display_name":"Christian Grimme","orcid":"https://orcid.org/0000-0002-8608-8773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Grimme","raw_affiliation_strings":["University of Münster,Department of Information Systems,Münster,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Münster,Department of Information Systems,Münster,Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73821525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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":0.9990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T11644","display_name":"Spam and Phishing Detection","score":0.9966999888420105,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.9271755218505859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078707218170166},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6659973859786987},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5324600338935852},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48688235878944397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46661630272865295},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4133797883987427},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10317873954772949},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.0593719482421875}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9271755218505859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078707218170166},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6659973859786987},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5324600338935852},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48688235878944397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46661630272865295},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4133797883987427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10317873954772949},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0593719482421875},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2061922307","https://openalex.org/W2081988057","https://openalex.org/W2113054345","https://openalex.org/W2250539671","https://openalex.org/W2343620495","https://openalex.org/W2618735189","https://openalex.org/W2759064804","https://openalex.org/W2808998506","https://openalex.org/W2896457183","https://openalex.org/W2897310364","https://openalex.org/W2965373594","https://openalex.org/W2970771982","https://openalex.org/W2973088264","https://openalex.org/W3008374555","https://openalex.org/W3016473712","https://openalex.org/W3034719632","https://openalex.org/W3044439675","https://openalex.org/W3088547571","https://openalex.org/W3090789254","https://openalex.org/W3104083384","https://openalex.org/W3111828510","https://openalex.org/W3123591483","https://openalex.org/W3183774761","https://openalex.org/W3195710474","https://openalex.org/W3203384454","https://openalex.org/W3210546290","https://openalex.org/W4226338932","https://openalex.org/W4288089799","https://openalex.org/W4295854766","https://openalex.org/W4311602221","https://openalex.org/W4312341581","https://openalex.org/W4312898104","https://openalex.org/W4313066228","https://openalex.org/W4319947748","https://openalex.org/W4320024008","https://openalex.org/W4362560607","https://openalex.org/W4388820836","https://openalex.org/W6680970901","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6769627184","https://openalex.org/W6773815586","https://openalex.org/W6776148200","https://openalex.org/W6780382415","https://openalex.org/W6787556164","https://openalex.org/W6789290461"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Motivated":[0],"by":[1,28],"the":[2,64,92,111,121],"emergence":[3],"of":[4,12,56,113,128],"large":[5],"language":[6],"models,":[7],"we":[8,105],"conduct":[9,106],"a":[10,30,107],"benchmark":[11],"sentence":[13,37,68],"embeddings":[14,38,69],"used":[15],"to":[16,35,40,125],"represent":[17],"short":[18],"texts":[19],"in":[20,110],"textual":[21,41,48],"stream":[22,32,42,102],"clustering.":[23,103],"We":[24],"achieve":[25],"comparable":[26],"results":[27,61],"adapting":[29],"non-textual":[31],"clustering":[33,43],"algorithm":[34],"use":[36,46],"compared":[39],"approaches":[44,77,122],"that":[45,63,120],"other":[47],"representation":[49],"mechanisms.":[50],"Benchmarking":[51],"datasets":[52,80,100],"with":[53],"differing":[54],"degrees":[55],"preprocessing":[57],"are":[58,123],"used.":[59],"The":[60],"suggest":[62],"chosen":[65],"approach":[66],"using":[67],"does":[70],"not":[71],"perform":[72],"as":[73,75],"well":[74],"previous":[76],"on":[78,86],"preprocessed":[79,88],"but":[81],"has":[82],"more":[83,97],"significant":[84],"potential":[85],"less":[87],"datasets.":[89],"This":[90],"highlights":[91],"need":[93],"for":[94,101],"new":[95],"and":[96,118],"application-oriented":[98],"benchmarking":[99],"Further,":[104],"case":[108],"study":[109],"context":[112],"social":[114],"media":[115],"campaign":[116],"detection":[117],"show":[119],"able":[124],"find":[126],"traces":[127],"orchestrated":[129],"activities.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}