{"id":"https://openalex.org/W3157515803","doi":"https://doi.org/10.1007/s00521-021-06046-y","title":"HTwitt: a hadoop-based platform for analysis and visualization of streaming Twitter data","display_name":"HTwitt: a hadoop-based platform for analysis and visualization of streaming Twitter data","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3157515803","doi":"https://doi.org/10.1007/s00521-021-06046-y","mag":"3157515803"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-021-06046-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-021-06046-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-021-06046-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-021-06046-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075518851","display_name":"\u00dcmit Demirbaga","orcid":"https://orcid.org/0000-0001-5159-0723"},"institutions":[{"id":"https://openalex.org/I254571519","display_name":"Bartin University","ror":"https://ror.org/03te4vd35","country_code":"TR","type":"education","lineage":["https://openalex.org/I254571519"]},{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB","TR"],"is_corresponding":true,"raw_author_name":"Umit Demirbaga","raw_affiliation_strings":["Faculty of Engineering, Bartin University, Bartin, Turkey","School of Computing, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":"https://orcid.org/0000-0001-5159-0723","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bartin University, Bartin, Turkey","institution_ids":["https://openalex.org/I254571519"]},{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075518851"],"corresponding_institution_ids":["https://openalex.org/I254571519","https://openalex.org/I84884186"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.083,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86499483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"33","first_page":"23893","last_page":"23908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9958000183105469,"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":0.8873761892318726},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7673506736755371},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6413567662239075},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5887930989265442},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.569469690322876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.501436710357666},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.49778032302856445},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47016164660453796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45645591616630554},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4548991918563843},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43061962723731995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4064038395881653},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33024442195892334},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24153253436088562},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21228399872779846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8873761892318726},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7673506736755371},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6413567662239075},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5887930989265442},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.569469690322876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.501436710357666},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.49778032302856445},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47016164660453796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45645591616630554},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4548991918563843},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43061962723731995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4064038395881653},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33024442195892334},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24153253436088562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21228399872779846},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-021-06046-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-021-06046-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-021-06046-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-021-06046-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-021-06046-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-021-06046-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G3040647492","display_name":null,"funder_award_id":"EP/T021985/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4927995903","display_name":null,"funder_award_id":"EP/T022582/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5983444534","display_name":null,"funder_award_id":"EP/R033293/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157515803.pdf","grobid_xml":"https://content.openalex.org/works/W3157515803.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W603723648","https://openalex.org/W1020530499","https://openalex.org/W1504573138","https://openalex.org/W2036279382","https://openalex.org/W2059039116","https://openalex.org/W2073756733","https://openalex.org/W2101746535","https://openalex.org/W2121227244","https://openalex.org/W2124008567","https://openalex.org/W2131307433","https://openalex.org/W2182215519","https://openalex.org/W2191365824","https://openalex.org/W2318024809","https://openalex.org/W2364668930","https://openalex.org/W2503319330","https://openalex.org/W2563689069","https://openalex.org/W2598304621","https://openalex.org/W2599101973","https://openalex.org/W2604363985","https://openalex.org/W2608581744","https://openalex.org/W2750781375","https://openalex.org/W2785346526","https://openalex.org/W2785431236","https://openalex.org/W2790845623","https://openalex.org/W2792581847","https://openalex.org/W2797326948","https://openalex.org/W2805319562","https://openalex.org/W2808808846","https://openalex.org/W2823408363","https://openalex.org/W2883902219","https://openalex.org/W2891413102","https://openalex.org/W2903476751","https://openalex.org/W2905111633","https://openalex.org/W2908479155","https://openalex.org/W2909570458","https://openalex.org/W2910137068","https://openalex.org/W2917071185","https://openalex.org/W2924648416","https://openalex.org/W2926907718","https://openalex.org/W2934774021","https://openalex.org/W2943171856","https://openalex.org/W2946415979","https://openalex.org/W2947173902","https://openalex.org/W2950247173","https://openalex.org/W2950425297","https://openalex.org/W2950784219","https://openalex.org/W2952341162","https://openalex.org/W2954006418","https://openalex.org/W2956750883","https://openalex.org/W2966190929","https://openalex.org/W2971118467","https://openalex.org/W2989255594","https://openalex.org/W2990736090","https://openalex.org/W2993170066","https://openalex.org/W3004476180","https://openalex.org/W3007443784","https://openalex.org/W3013394726","https://openalex.org/W3026777367","https://openalex.org/W3040838366","https://openalex.org/W3046881145","https://openalex.org/W3048640705","https://openalex.org/W3081795249","https://openalex.org/W3083631507","https://openalex.org/W3087344810","https://openalex.org/W3095116439","https://openalex.org/W3108242926","https://openalex.org/W3143711047","https://openalex.org/W3143733643","https://openalex.org/W4231725381","https://openalex.org/W4246971709"],"related_works":["https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W3008919350","https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513"],"abstract_inverted_index":{"Abstract":[0],"Twitter":[1],"produces":[2],"a":[3,60,64,72,127,175,236,246],"massive":[4],"amount":[5],"of":[6,15,23,29,34,53,59,66,152,169,199,206,212,218,238,245],"data":[7,20,74,85,95,164],"due":[8,31],"to":[9,32,77,90,131,173],"its":[10],"popularity":[11],"that":[12,228],"is":[13,26,104,112,172],"one":[14],"the":[16,27,41,54,80,107,170,192,197,200,204,209,213,229,243],"reasons":[17],"underlying":[18],"big":[19,73,92,163],"problems.":[21],"One":[22],"those":[24],"problems":[25],"classification":[28,161,248],"tweets":[30,186],"use":[33],"sophisticated":[35],"and":[36,63,134,140,156,187,241],"complex":[37],"language,":[38],"which":[39,57,202],"makes":[40],"current":[42],"tools":[43],"insufficient.":[44],"We":[45,195],"present":[46],"our":[47],"framework":[48,176],"HTwitt,":[49],"built":[50],"on":[51],"top":[52],"Hadoop":[55],"ecosystem,":[56],"consists":[58],"MapReduce":[61],"algorithm":[62],"set":[65],"machine":[67,222],"learning":[68,223],"techniques":[69,87],"embedded":[70],"within":[71],"analytics":[75],"platform":[76],"efficiently":[78],"address":[79],"following":[81],"problems:":[82],"(1)":[83],"traditional":[84],"processing":[86],"are":[88,119],"inadequate":[89],"handle":[91],"data;":[93],"(2)":[94],"preprocessing":[96],"needs":[97],"substantial":[98],"manual":[99],"effort;":[100],"(3)":[101],"domain":[102],"knowledge":[103],"required":[105],"before":[106],"classification;":[108],"(4)":[109],"semantic":[110],"explanation":[111],"ignored.":[113],"In":[114],"this":[115],"work,":[116],"these":[117],"challenges":[118],"overcome":[120],"by":[121,183],"using":[122,215],"different":[123,147,216],"algorithms":[124],"combined":[125],"with":[126,191,235],"Na\u00efve":[128],"Bayes":[129],"classifier":[130],"ensure":[132],"reliability":[133],"highly":[135],"precise":[136],"recommendations":[137],"in":[138,150,162,208,221],"virtualization":[139],"cloud":[141],"environments.":[142],"These":[143],"features":[144],"make":[145],"HTwitt":[146],"from":[148],"others":[149],"terms":[151],"having":[153],"an":[154],"effective":[155],"practical":[157],"design":[158],"for":[159,177],"text":[160],"analytics.":[165],"The":[166],"main":[167],"contribution":[168],"paper":[171],"propose":[174],"building":[178],"landslide":[179],"early":[180],"warning":[181],"systems":[182],"pinpointing":[184],"useful":[185],"visualizing":[188],"them":[189],"along":[190],"processed":[193],"information.":[194],"demonstrate":[196,227],"results":[198,226,234],"experiments":[201],"quantify":[203],"levels":[205],"overfitting":[207],"training":[210],"stage":[211],"model":[214],"sizes":[217],"real-world":[219],"datasets":[220],"phases.":[224],"Our":[225],"proposed":[230],"system":[231],"provides":[232],"high-quality":[233],"score":[237],"nearly":[239],"95%":[240],"meets":[242],"requirement":[244],"Hadoop-based":[247],"system.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}