{"id":"https://openalex.org/W4319984444","doi":"https://doi.org/10.1007/s13278-023-01030-x","title":"Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach","display_name":"Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach","publication_year":2023,"publication_date":"2023-02-09","ids":{"openalex":"https://openalex.org/W4319984444","doi":"https://doi.org/10.1007/s13278-023-01030-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/36789379","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9910766"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-023-01030-x","doi":"https://doi.org/10.1007/s13278-023-01030-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-023-01030-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-023-01030-x.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13278-023-01030-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuxing Qi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuxing Qi","raw_affiliation_strings":["Centre for Urban Science and Progress, King's College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Urban Science and Progress, King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011463469","display_name":"Zahratu Shabrina","orcid":"https://orcid.org/0000-0001-8246-8229","observed_orcids":["https://orcid.org/0000-0001-8246-8229"]},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["GB","ID"],"is_corresponding":true,"raw_author_name":"Zahratu Shabrina","raw_affiliation_strings":["Department of Geography, King's College, London, UK","Regional Innovation, Graduate School, Universitas Padjadjaran, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, King's College, London, UK","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Regional Innovation, Graduate School, Universitas Padjadjaran, Bandung, Indonesia","institution_ids":["https://openalex.org/I91819753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011463469"],"corresponding_institution_ids":["https://openalex.org/I183935753","https://openalex.org/I91819753"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":17.7407,"has_fulltext":true,"cited_by_count":254,"citation_normalized_percentile":{"value":0.99564869,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"13","issue":"1","first_page":"31","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0,"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/sentiment-analysis","display_name":"sentiment analysis","score":0.9980000257492065},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.9470000267028809},{"id":"https://openalex.org/keywords/tweets","display_name":"tweets","score":0.7210000157356262},{"id":"https://openalex.org/keywords/lexicon-based-approach","display_name":"lexicon-based approach","score":0.8420000076293945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7919999957084656},{"id":"https://openalex.org/keywords/social-media-text","display_name":"social media text","score":0.515999972820282}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8166794180870056},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7997545003890991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973859667778015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313759088516235},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.548248827457428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4514726996421814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4352513551712036}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s13278-023-01030-x","doi":"https://doi.org/10.1007/s13278-023-01030-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-023-01030-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-023-01030-x.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9910766","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9910766","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9910766/pdf/13278_2023_Article_1030.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soc Netw Anal Min","raw_type":"Text"},{"id":"pmid:36789379","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36789379","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social network analysis and mining","raw_type":"Journal Article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/31799537-f84c-4ba9-9662-03671e06fcfd","doi":null,"is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/31799537-f84c-4ba9-9662-03671e06fcfd","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qi, Y & Shabrina, Z 2023, 'Sentiment analysis using Twitter data : a comparative application of lexicon- and machine-learning-based approach', Social Network Analysis and Mining, vol. 13, no. 1, 31. https://doi.org/10.1007/s13278-023-01030-x","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13278-023-01030-x","doi":"https://doi.org/10.1007/s13278-023-01030-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-023-01030-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-023-01030-x.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319984444.pdf","grobid_xml":"https://content.openalex.org/works/W4319984444.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1797037330","https://openalex.org/W1832693441","https://openalex.org/W1970924320","https://openalex.org/W2099813784","https://openalex.org/W2164631912","https://openalex.org/W2283654475","https://openalex.org/W2306941105","https://openalex.org/W2492922441","https://openalex.org/W2510916058","https://openalex.org/W2753840835","https://openalex.org/W2783524579","https://openalex.org/W2792916349","https://openalex.org/W2911964244","https://openalex.org/W2919929668","https://openalex.org/W2936229715","https://openalex.org/W2996347617","https://openalex.org/W2998019206","https://openalex.org/W3035041139","https://openalex.org/W3041202055","https://openalex.org/W3047904982","https://openalex.org/W3049681097","https://openalex.org/W3090809851","https://openalex.org/W3092062385","https://openalex.org/W3094221957","https://openalex.org/W3094733139","https://openalex.org/W3127056209","https://openalex.org/W3194388628","https://openalex.org/W3199305386","https://openalex.org/W3200351420","https://openalex.org/W3214945732","https://openalex.org/W4213454368"],"related_works":["https://openalex.org/W4285335801","https://openalex.org/W2884852787","https://openalex.org/W3019621705","https://openalex.org/W2807388816","https://openalex.org/W4285815272","https://openalex.org/W3029608096","https://openalex.org/W2899454771","https://openalex.org/W4379506252","https://openalex.org/W2915358712","https://openalex.org/W4396751758"],"abstract_inverted_index":{"Social":[0],"media":[1,144],"platform":[2,62,88],"such":[3],"as":[4,16,18,32,76],"Twitter":[5,57,129],"provides":[6],"a":[7,136],"space":[8],"where":[9,90],"users":[10,46,70],"share":[11],"their":[12],"thoughts":[13],"and":[14,21,42,45,52,89,120,155],"opinion":[15],"well":[17],"connect,":[19],"communicate,":[20],"contribute":[22,98],"to":[23,56,99,111,150,161],"certain":[24],"topics":[25],"using":[26,49,128],"short,":[27],"140":[28],"characters":[29],"posts,":[30],"known":[31],"tweets":[33],".":[34],"This":[35],"can":[36,47,83,92,108],"be":[37,84,93,109],"done":[38],"through":[39],"texts,":[40],"pictures,":[41],"videos,":[43],"etc.,":[44],"interact":[48],"likes,":[50],"comments,":[51],"reposts":[53],"buttons.":[54],"According":[55],"(":[58],"https://investor.twitterinc.com":[59],"),":[60],"the":[61,77,87,102,114],"has":[63,134,146],"more":[64,96,148],"than":[65],"206":[66],"million":[67],"daily":[68],"active":[69],"in":[71,116,142],"2022,":[72],"which":[73],"is":[74],"defined":[75],"number":[78],"of":[79,104],"logged":[80],"accounts":[81],"that":[82],"identified":[85],"by":[86],"ads":[91],"shown.":[94],"As":[95],"people":[97],"social":[100,143],"media,":[101],"analysis":[103,133,145],"information":[105],"available":[106],"online":[107],"used":[110],"reflect":[112],"on":[113],"changes":[115],"people's":[117],"perceptions,":[118],"behavior,":[119],"psychology":[121],"(Alamoodi":[122],"et":[123],"al.":[124],"2021":[125],").":[126],"Hence,":[127],"data":[130],"for":[131],"sentiment":[132],"become":[135],"popular":[137],"trend.":[138],"The":[139],"growing":[140],"interest":[141],"brought":[147],"attention":[149],"Natural":[151],"Languages":[152],"Processing":[153],"(NLP)":[154],"Artificial":[156],"Intelligence":[157],"(AI)":[158],"technologies":[159],"related":[160],"text":[162],"analysis.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":69},{"year":2025,"cited_by_count":85},{"year":2024,"cited_by_count":80},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-02-11T00:00:00"}