{"id":"https://openalex.org/W2017445227","doi":"https://doi.org/10.4018/jaci.2013040104","title":"Keyword-Based Sentiment Mining using Twitter","display_name":"Keyword-Based Sentiment Mining using Twitter","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2017445227","doi":"https://doi.org/10.4018/jaci.2013040104","mag":"2017445227"},"language":"en","primary_location":{"id":"doi:10.4018/jaci.2013040104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jaci.2013040104","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.ulster.ac.uk/en/publications/6da3e264-ad16-4fcf-aa94-403add19789c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029737688","display_name":"Matthias Baumgarten","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. Baumgarten","raw_affiliation_strings":["Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038610271","display_name":"Maurice Mulvenna","orcid":"https://orcid.org/0000-0002-1554-0785"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. D. Mulvenna","raw_affiliation_strings":["Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072227703","display_name":"Niall Rooney","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"N. Rooney","raw_affiliation_strings":["Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Department of Computing & Engineering, University of Ulster, Newtownabbey, UK#TAB#","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040885832","display_name":"Julie. Reid","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Reid","raw_affiliation_strings":["RepKnight, Belfast, UK","RepKnight, Belfast, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RepKnight, Belfast, UK","institution_ids":[]},{"raw_affiliation_string":"RepKnight, Belfast, UK#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9471,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.88125043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"5","issue":"2","first_page":"56","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9864000082015991,"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":0.8286136388778687},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7490734457969666},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6099367141723633},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5548537373542786},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5017945766448975},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.4494304060935974},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44815927743911743},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4461532235145569},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.44559693336486816},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4386156499385834},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.4280543327331543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1767459511756897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15388301014900208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8286136388778687},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7490734457969666},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6099367141723633},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5548537373542786},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5017945766448975},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.4494304060935974},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44815927743911743},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4461532235145569},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.44559693336486816},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4386156499385834},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.4280543327331543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1767459511756897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15388301014900208},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4018/jaci.2013040104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jaci.2013040104","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/6da3e264-ad16-4fcf-aa94-403add19789c","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/6da3e264-ad16-4fcf-aa94-403add19789c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Baumgarten, M, Mulvenna, M, Rooney, N & Reid, J 2013, 'Keyword-Based Sentiment Mining using Twitter', International Journal of Ambient Computing and Intelligence, vol. 5, no. 2, pp. 56-69. https://doi.org/10.4018/jaci2013040104","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:RePEc:igg:jaci00:v:5:y:2013:i:2:p:56-69","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaci.2013040104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/6da3e264-ad16-4fcf-aa94-403add19789c","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/6da3e264-ad16-4fcf-aa94-403add19789c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Baumgarten, M, Mulvenna, M, Rooney, N & Reid, J 2013, 'Keyword-Based Sentiment Mining using Twitter', International Journal of Ambient Computing and Intelligence, vol. 5, no. 2, pp. 56-69. https://doi.org/10.4018/jaci2013040104","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W1574454071","https://openalex.org/W2022204871","https://openalex.org/W2035265584","https://openalex.org/W2059503205","https://openalex.org/W2075718943","https://openalex.org/W2097726431","https://openalex.org/W2110278938","https://openalex.org/W2113125055","https://openalex.org/W2144378002","https://openalex.org/W2145139979","https://openalex.org/W2146111747","https://openalex.org/W2157052295","https://openalex.org/W2166706824","https://openalex.org/W3147292827","https://openalex.org/W4205184193","https://openalex.org/W4255173720"],"related_works":["https://openalex.org/W2252197266","https://openalex.org/W3095817971","https://openalex.org/W2948425927","https://openalex.org/W2791056613","https://openalex.org/W4236882189","https://openalex.org/W2780630517","https://openalex.org/W4285232681","https://openalex.org/W4212961604","https://openalex.org/W2591340154","https://openalex.org/W256385143"],"abstract_inverted_index":{"Big":[0],"Data":[1],"are":[2],"the":[3,26,36,49,56,63,95,101,113,121,148],"new":[4,118],"frontier":[5],"for":[6,39,134],"businesses":[7],"and":[8,15,18,42,53,66,71,98,107,126,173],"governments":[9],"alike.":[10,44],"Dealing":[11],"with":[12],"big":[13],"data":[14,73],"extracting":[16],"valuable":[17],"actionable":[19],"knowledge":[20,86,97],"from":[21],"it":[22],"poses":[23],"one":[24,34,61],"of":[25,35,62,78,112,123],"biggest":[27],"challenges":[28],"in":[29,54,76,99,120,169,174],"computing":[30],"and,":[31],"simultaneously,":[32],"provides":[33],"greatest":[37],"opportunities":[38,119],"business,":[40],"government":[41],"society":[43],"The":[45],"content":[46,79],"produced":[47],"by":[48],"social":[50],"media":[51],"community":[52,59],"particular":[55,100],"micro":[57],"blogging":[58],"reflects":[60],"most":[64],"opinion-":[65],"knowledge-rich,":[67],"real-time":[68],"accessible,":[69],"expressive":[70],"diverse":[72],"sources,":[74],"both":[75],"terms":[77],"itself":[80],"as":[81,83,88],"well":[82],"context":[84,115],"related":[85],"such":[87],"user":[89,92,124,166],"profiles":[90],"including":[91],"relations.":[93],"Harnessing":[94],"embedded":[96],"underlying":[102],"opinion":[103],"about":[104,165],"certain":[105],"topics":[106],"gaining":[108],"a":[109,131,142,162],"deeper":[110,163],"understanding":[111,164],"overall":[114],"will":[116],"provide":[117,161],"inclusion":[122],"opinions":[125],"preferences.":[127],"This":[128],"paper":[129],"discusses":[130],"keyword-based":[132],"classifier":[133],"short":[135],"message":[136],"based":[137],"sentiment":[138,156],"mining.":[139],"It":[140],"outlines":[141],"simple":[143],"classification":[144],"mechanism":[145],"that":[146],"has":[147],"potential":[149],"to":[150,153],"be":[151],"extended":[152],"include":[154],"additional":[155],"dimensions.":[157],"Eventually,":[158],"this":[159],"could":[160,171],"preferences,":[167],"which":[168],"turn":[170],"actively":[172],"almost":[175],"real":[176],"time":[177],"influence":[178],"further":[179],"development":[180],"activities":[181],"or":[182],"marketing":[183],"campaigns.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
