{"id":"https://openalex.org/W1953362807","doi":"https://doi.org/10.1109/mci.2015.2471215","title":"Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns","display_name":"Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W1953362807","doi":"https://doi.org/10.1109/mci.2015.2471215","mag":"1953362807"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2015.2471215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2015.2471215","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","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/A5033376109","display_name":"Soujanya Poria","orcid":"https://orcid.org/0000-0001-6924-7931"},"institutions":[{"id":"https://openalex.org/I12093191","display_name":"University of Stirling","ror":"https://ror.org/045wgfr59","country_code":"GB","type":"education","lineage":["https://openalex.org/I12093191"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Soujanya Poria","raw_affiliation_strings":["School of Natural Sciences, University of Stirling, UK","School of Natural Sciences University of Stirling, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Sciences, University of Stirling, UK","institution_ids":["https://openalex.org/I12093191"]},{"raw_affiliation_string":"School of Natural Sciences University of Stirling, UK","institution_ids":["https://openalex.org/I12093191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, SINGAPORE","School of Computer Engineering, Nanyang Technological University,,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, SINGAPORE","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049701126","display_name":"Alexander Gelbukh","orcid":"https://orcid.org/0000-0001-7845-9039"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Alexander Gelbukh","raw_affiliation_strings":["Centro de Investigaci\u00f3n en Computaci\u00f3n, Instituto Polit\u00e9cnico Nacional, MEXICO","Centro de Investigaci\u00f3n en Computaci\u00f3n Instituto Polit\u00e9cnico Nacional, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Computaci\u00f3n, Instituto Polit\u00e9cnico Nacional, MEXICO","institution_ids":["https://openalex.org/I59361560"]},{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Computaci\u00f3n Instituto Polit\u00e9cnico Nacional, M\u00e9xico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075110204","display_name":"Federica Bisio","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federica Bisio","raw_affiliation_strings":["DITEN, University of Genoa, ITALY","DITEN-University of Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DITEN, University of Genoa, ITALY","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN-University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062211930","display_name":"Amir Hussain","orcid":"https://orcid.org/0000-0002-8080-082X"},"institutions":[{"id":"https://openalex.org/I12093191","display_name":"University of Stirling","ror":"https://ror.org/045wgfr59","country_code":"GB","type":"education","lineage":["https://openalex.org/I12093191"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Hussain","raw_affiliation_strings":["School of Natural Sciences, University of Stirling, UK","School of Natural Sciences University of Stirling, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Sciences, University of Stirling, UK","institution_ids":["https://openalex.org/I12093191"]},{"raw_affiliation_string":"School of Natural Sciences University of Stirling, UK","institution_ids":["https://openalex.org/I12093191"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":39.1753,"has_fulltext":false,"cited_by_count":161,"citation_normalized_percentile":{"value":0.997827,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"10","issue":"4","first_page":"26","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.8292011022567749},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7413374781608582},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.5674797296524048},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5578104853630066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514727830886841},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5320523977279663},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.50136399269104},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.49007856845855713},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43545907735824585},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4326649308204651},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4205419719219208},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40845048427581787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21554338932037354},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13416486978530884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292011022567749},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7413374781608582},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.5674797296524048},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5578104853630066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514727830886841},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5320523977279663},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.50136399269104},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.49007856845855713},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43545907735824585},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4326649308204651},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4205419719219208},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40845048427581787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21554338932037354},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13416486978530884}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/mci.2015.2471215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2015.2471215","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.6710","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.6710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gelbukh.com/CV/Publications/2015/Sentiment%20Data%20Flow%20Analysis%20by%20Means%20of%20Dynamic%20Linguistic%20Patterns.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.stir.ac.uk:1893/23746","is_oa":false,"landing_page_url":"http://hdl.handle.net/1893/23746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400267","display_name":"Stirling Online Research Repository (University of Stirling)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12093191","host_organization_name":"University of Stirling","host_organization_lineage":["https://openalex.org/I12093191"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:dspace.stir.ac.uk:1893/23766","is_oa":false,"landing_page_url":"http://hdl.handle.net/1893/23766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400268","display_name":"Stirling Online Research Repository (University of Stirling)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12093191","host_organization_name":"University of Stirling","host_organization_lineage":["https://openalex.org/I12093191"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:napier-surface.worktribe.com:1792947","is_oa":false,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/1792947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W187383899","https://openalex.org/W193524605","https://openalex.org/W304145884","https://openalex.org/W1496421531","https://openalex.org/W1511480444","https://openalex.org/W1526460642","https://openalex.org/W1534018075","https://openalex.org/W1889268436","https://openalex.org/W1992039201","https://openalex.org/W1995207790","https://openalex.org/W2002675557","https://openalex.org/W2016279377","https://openalex.org/W2028140375","https://openalex.org/W2048629585","https://openalex.org/W2058339786","https://openalex.org/W2070589943","https://openalex.org/W2081580037","https://openalex.org/W2095579012","https://openalex.org/W2108646579","https://openalex.org/W2108765529","https://openalex.org/W2121184547","https://openalex.org/W2128415447","https://openalex.org/W2153353890","https://openalex.org/W2155328222","https://openalex.org/W2159021374","https://openalex.org/W2163302275","https://openalex.org/W2163455955","https://openalex.org/W2163614729","https://openalex.org/W2164385956","https://openalex.org/W2166706824","https://openalex.org/W2170436435","https://openalex.org/W2171836785","https://openalex.org/W2192604218","https://openalex.org/W2234490075","https://openalex.org/W2250204095","https://openalex.org/W2250816101","https://openalex.org/W2251939518","https://openalex.org/W2296734373","https://openalex.org/W2341587966","https://openalex.org/W2787893582","https://openalex.org/W3146306708","https://openalex.org/W4211186029","https://openalex.org/W6607799657","https://openalex.org/W6631369410","https://openalex.org/W6639364127","https://openalex.org/W6684149856","https://openalex.org/W6687074893","https://openalex.org/W6687724439","https://openalex.org/W6691436989","https://openalex.org/W6691459498","https://openalex.org/W6691730451","https://openalex.org/W6697591862","https://openalex.org/W7034037630"],"related_works":["https://openalex.org/W2218797720","https://openalex.org/W159132833","https://openalex.org/W2548274677","https://openalex.org/W2602741149","https://openalex.org/W4287903834","https://openalex.org/W2999459970","https://openalex.org/W4312793323","https://openalex.org/W2884292158","https://openalex.org/W4211036734","https://openalex.org/W3124026396"],"abstract_inverted_index":{"Emulating":[0],"the":[1,7,123,140,196,214,233,264],"human":[2,23],"brain":[3],"is":[4,65],"one":[5],"of":[6,10,18,62,84,91,153,161,198,213,263,267,285],"core":[8],"challenges":[9],"computational":[11,31,186],"intelligence,":[12,20,187],"which":[13],"entails":[14],"many":[15],"key":[16],"problems":[17],"artificial":[19],"including":[21],"understanding":[22,262],"language,":[24],"reasoning,":[25],"and":[26,39,54,78,120,135,155,189,228,288],"emotions.":[27],"In":[28,172],"this":[29,88,230],"work,":[30],"intelligence":[32],"techniques":[33],"are":[34,102,108,115],"combined":[35],"with":[36,126],"common-sense":[37,190],"computing":[38,191],"linguistics":[40],"to":[41,47,105,118,194,224,238,244,253,272],"analyze":[42],"sentiment":[43,182,249],"data":[44,64,101,164],"flows,":[45],"i.e.,":[46],"automatically":[48],"decode":[49],"how":[50,248],"humans":[51],"express":[52],"emotions":[53],"opinions":[55],"via":[56],"natural":[57,127],"language.":[58],"The":[59,82,210],"increasing":[60],"availability":[61],"social":[63,79,163,208],"extremely":[66],"beneficial":[67],"for":[68,111,179,259],"tasks":[69,201],"such":[70,100,138,202],"as":[71,139,203],"branding,":[72],"product":[73],"positioning,":[74],"corporate":[75],"reputation":[76],"management,":[77],"media":[80],"marketing.":[81],"elicitation":[83],"useful":[85],"information":[86],"from":[87,206,251],"huge":[89],"amount":[90],"unstructured":[92,162],"data,":[93],"however,":[94],"remains":[95],"an":[96,218],"open":[97],"challenge.":[98],"Although":[99],"easily":[103],"accessible":[104],"humans,":[106],"they":[107],"not":[109],"suitable":[110],"automatic":[112],"processing:":[113],"machines":[114],"still":[116],"unable":[117],"effectively":[119],"dynamically":[121],"interpret":[122],"meaning":[124],"associated":[125],"language":[128],"text":[129,154,227],"in":[130,192,217,226,236,270,283],"very":[131],"large,":[132],"heterogeneous,":[133],"noisy,":[134],"ambiguous":[136],"environments":[137],"Web.":[141],"We":[142],"present":[143],"a":[144,157,176,240,260,274],"novel":[145,177],"methodology":[146],"that":[147,184,220,278],"goes":[148],"beyond":[149],"mere":[150],"word-level":[151],"analysis":[152,183],"enables":[156],"more":[158],"efficient":[159],"transformation":[160],"into":[165],"structured":[166],"information,":[167],"readily":[168],"interpretable":[169],"by":[170],"machines.":[171],"particular,":[173],"we":[174],"describe":[175],"paradigm":[178],"real-time":[180],"concept-level":[181],"blends":[185],"linguistics,":[188],"order":[193,237],"improve":[195],"accuracy":[197,287],"computationally":[199],"expensive":[200],"polarity":[204,223,231,242,276],"detection":[205],"big":[207],"data.":[209],"main":[211],"novelty":[212],"paper":[215],"consists":[216],"algorithm":[219],"assigns":[221],"contextual":[222,265],"concepts":[225],"flows":[229,250],"through":[232,255],"dependency":[234,256],"arcs":[235],"assign":[239],"final":[241],"label":[243],"each":[245,268],"sentence.":[246],"Analyzing":[247],"concept":[252,254,269],"relations":[257],"allows":[258],"better":[261],"role":[266],"text,":[271],"achieve":[273],"dynamic":[275],"inference":[277],"outperforms":[279],"state-of-the-art":[280],"statistical":[281],"methods":[282],"terms":[284],"both":[286],"training":[289],"time.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":29},{"year":2016,"cited_by_count":30},{"year":2015,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}