{"id":"https://openalex.org/W2951398196","doi":"https://doi.org/10.2298/csis181015013c","title":"Lexicon based Chinese language sentiment analysis method","display_name":"Lexicon based Chinese language sentiment analysis method","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951398196","doi":"https://doi.org/10.2298/csis181015013c","mag":"2951398196"},"language":"en","primary_location":{"id":"doi:10.2298/csis181015013c","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis181015013c","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141900013C","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141900013C","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063418473","display_name":"Jinyan Chen","orcid":"https://orcid.org/0000-0001-5986-977X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinyan Chen","raw_affiliation_strings":["Griffith Institute for Tourism, Griffith University, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith Institute for Tourism, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031891671","display_name":"Susanne Becken","orcid":"https://orcid.org/0000-0002-3348-2750"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Susanne Becken","raw_affiliation_strings":["Griffith Institute for Tourism, Griffith University, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith Institute for Tourism, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043963873","display_name":"Bela Stanti\u0107","orcid":"https://orcid.org/0000-0003-0475-7951"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bela Stantic","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":1.6943,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88189142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"639","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9929999709129333,"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":0.9929999709129333,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9898999929428101,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9628000259399414,"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":0.9491799473762512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8877591490745544},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.8493630886077881},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7170913815498352},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5220946073532104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5134552121162415},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.49316567182540894},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.46722516417503357},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4602670967578888},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39580222964286804},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3244972825050354},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28265058994293213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14572057127952576}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9491799473762512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8877591490745544},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8493630886077881},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7170913815498352},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5220946073532104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134552121162415},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.49316567182540894},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.46722516417503357},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4602670967578888},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39580222964286804},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3244972825050354},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28265058994293213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14572057127952576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2298/csis181015013c","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis181015013c","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141900013C","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/394726","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/394726","pdf_url":"http://hdl.handle.net/10072/394726","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.2298/csis181015013c","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis181015013c","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141900013C","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951398196.pdf","grobid_xml":"https://content.openalex.org/works/W2951398196.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W866933852","https://openalex.org/W1993260179","https://openalex.org/W2002576419","https://openalex.org/W2020438140","https://openalex.org/W2029159481","https://openalex.org/W2099813784","https://openalex.org/W2123442489","https://openalex.org/W2124228948","https://openalex.org/W2326702686","https://openalex.org/W2536271415","https://openalex.org/W2591383930","https://openalex.org/W2594487097","https://openalex.org/W2597590685","https://openalex.org/W2743481586","https://openalex.org/W2754985259","https://openalex.org/W2761198712","https://openalex.org/W2765183831","https://openalex.org/W2774008574","https://openalex.org/W2807896993","https://openalex.org/W4205337843","https://openalex.org/W6601375367"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2153980712","https://openalex.org/W2346975490","https://openalex.org/W2021183651","https://openalex.org/W2036556872","https://openalex.org/W2017590198"],"abstract_inverted_index":{"The":[0],"growing":[1],"number":[2],"of":[3,10,58,75,88,118,124,136,138,144],"social":[4,103,128],"media":[5,104,129],"users":[6,123],"and":[7,33,50,106,150,179],"vast":[8],"volume":[9,57],"posts":[11,105,114],"could":[12],"provide":[13],"valuable":[14],"information":[15,178],"about":[16],"the":[17,56,72,85,99,163,170,177],"sentiment":[18,42,73,86,100,154,161],"toward":[19,71,84,162],"different":[20,164],"locations,":[21],"services":[22],"as":[23,25,62,64,146,148],"well":[24,63,147],"people.":[26],"Recent":[27],"advances":[28],"in":[29,43,82,101,175],"Big":[30],"Data":[31],"analytics":[32],"natural":[34],"language":[35],"processing":[36],"often":[37],"means":[38],"to":[39,55,97,107,160,182],"automatically":[40],"calculate":[41],"these":[44],"posts.":[45],"Sentiment":[46],"analysis":[47,74],"is":[48,79,173,180],"challenging":[49],"computationally":[51],"demanding":[52],"task":[53],"due":[54],"data,":[59],"misspelling,":[60],"emoticons":[61],"abbreviations.":[65],"While":[66],"significant":[67],"work":[68,93],"was":[69],"directed":[70],"English":[76],"text":[77],"there":[78],"limited":[80],"attention":[81],"literature":[83],"analytic":[87],"Chinese":[89,102,127],"language.":[90],"In":[91,156],"this":[92],"we":[94,111,167],"propose":[95],"method":[96,110,172],"identify":[98],"test":[108],"our":[109],"rely":[112],"on":[113],"sent":[115],"by":[116,122],"visitors":[117],"Great":[119],"Barrier":[120],"Reef":[121],"most":[125],"popular":[126],"platform":[130],"Sina":[131],"Weibo.":[132],"We":[133],"elaborate":[134],"process":[135],"capturing":[137],"weibo":[139],"posts,":[140],"describe":[141],"a":[142],"creation":[143],"lexicon":[145],"develop":[149],"explain":[151],"algorithm":[152],"for":[153],"calculation.":[155],"case":[157],"study,":[158],"related":[159],"GBR":[165],"destinations,":[166],"demonstrate":[168],"that":[169],"proposed":[171],"effective":[174],"obtaining":[176],"suitable":[181],"monitor":[183],"visitors?":[184],"opinion.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-06-27T00:00:00"}
