{"id":"https://openalex.org/W2727108324","doi":"https://doi.org/10.1109/sera.2017.7965710","title":"Sentiment analysis on social media using morphological sentence pattern model","display_name":"Sentiment analysis on social media using morphological sentence pattern model","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2727108324","doi":"https://doi.org/10.1109/sera.2017.7965710","mag":"2727108324"},"language":"en","primary_location":{"id":"doi:10.1109/sera.2017.7965710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2017.7965710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072197754","display_name":"Youngsub Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youngsub Han","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031811837","display_name":"Kwangmi Ko Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwangmi Ko Kim","raw_affiliation_strings":["Department of Mass Communication, Towson University, Towson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mass Communication, Towson University, Towson, USA","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4322298"],"apc_list":null,"apc_paid":null,"fwci":1.6611,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88454017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"84"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9977999925613403,"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":0.9955000281333923,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.88109290599823},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.806740403175354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7957679033279419},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6922811269760132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384070873260498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47587886452674866},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.410073459148407},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2885039150714874}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.88109290599823},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.806740403175354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957679033279419},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6922811269760132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384070873260498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47587886452674866},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.410073459148407},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2885039150714874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera.2017.7965710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2017.7965710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1462372186","https://openalex.org/W1465589212","https://openalex.org/W1964076221","https://openalex.org/W1977561632","https://openalex.org/W1987676876","https://openalex.org/W1998257453","https://openalex.org/W2017238344","https://openalex.org/W2019268418","https://openalex.org/W2025918499","https://openalex.org/W2029181554","https://openalex.org/W2097521684","https://openalex.org/W2121001699","https://openalex.org/W2122369144","https://openalex.org/W2123442489","https://openalex.org/W2126581182","https://openalex.org/W2145456657","https://openalex.org/W2148034183","https://openalex.org/W2480813186","https://openalex.org/W2746753751","https://openalex.org/W3098567156","https://openalex.org/W6674929577","https://openalex.org/W6743445763","https://openalex.org/W7052461017"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680"],"abstract_inverted_index":{"Social":[0],"media":[1,27,51],"became":[2,29],"popular":[3],"than":[4],"ever":[5],"as":[6,36],"people":[7],"are":[8],"willing":[9],"to":[10,17,41,77,81,122],"share":[11],"their":[12],"emotions":[13],"and":[14,75,90,144],"opinions":[15],"or":[16],"participate":[18],"in":[19,46,100,117],"social":[20,26,50],"networking.":[21],"Accordingly,":[22],"the":[23,105],"understanding":[24],"of":[25,38,127],"usage":[28],"important.":[30],"The":[31,130],"sentiment":[32,69,98],"analysis":[33,70,99,137],"is":[34],"emerged":[35],"one":[37],"useful":[39],"methods":[40],"analyze":[42],"emotional":[43],"stats":[44],"expressed":[45],"textual":[47],"data":[48],"including":[49],"data.":[52],"However,":[53],"this":[54,92,101,113,118,136],"method":[55],"still":[56],"presents":[57],"some":[58],"limitations,":[59],"particularly":[60],"with":[61],"an":[62,83,96],"accuracy":[63,85,128],"issue.":[64],"For":[65],"example,":[66],"our":[67],"previous":[68],"used":[71,134],"a":[72,124],"probability":[73],"model":[74],"needed":[76],"adopt":[78],"human-coded":[79],"train-sets":[80],"maintain":[82],"acceptable":[84],"level":[86,126],"(89%).":[87],"To":[88],"overcome":[89],"improve":[91],"weakness,":[93],"we":[94],"propose":[95],"automated":[97],"paper":[102,119],"by":[103],"using":[104],"morphological":[106],"sentence":[107],"pattern":[108],"model.":[109],"We":[110],"found":[111],"that":[112],"new":[114],"approach":[115],"presented":[116],"allowed":[120],"us":[121],"achieve":[123],"higher":[125],"(91.2%).":[129],"movie":[131],"reviews":[132],"were":[133],"for":[135],"from":[138],"IMDb,":[139],"Rotten":[140],"Tomatoes,":[141],"Metacritic,":[142],"YouTube":[143],"Twitter.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}