{"id":"https://openalex.org/W2896174859","doi":"https://doi.org/10.1109/sera.2018.8477226","title":"Stance Mining for Online Debate Posts Using Part-of-Speech (POS) Tags Frequency","display_name":"Stance Mining for Online Debate Posts Using Part-of-Speech (POS) Tags Frequency","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2896174859","doi":"https://doi.org/10.1109/sera.2018.8477226","mag":"2896174859"},"language":"en","primary_location":{"id":"doi:10.1109/sera.2018.8477226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-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/A5066168346","display_name":"Thiri Kyaw","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Thiri Kyaw","raw_affiliation_strings":["University of Computer Studies, Mandalay (UCSM), Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay (UCSM), Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087420897","display_name":"Sint Sint Aung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Sint Sint Aung","raw_affiliation_strings":["University of Computer Studies, Mandalay (UCSM), Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay (UCSM), Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066168346"],"corresponding_institution_ids":["https://openalex.org/I4210089821"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5938048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9975000023841858,"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":0.9975000023841858,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.982200026512146,"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":0.9812999963760376,"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/spelling","display_name":"Spelling","score":0.7491760849952698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316270470619202},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.7240402698516846},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.649995744228363},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6390390396118164},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6322029829025269},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.5283428430557251},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.49776461720466614},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4692387878894806},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3573145866394043},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32953035831451416},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.23339107632637024},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2310945987701416},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18394625186920166},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.12805944681167603},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09027478098869324}],"concepts":[{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.7491760849952698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316270470619202},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.7240402698516846},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.649995744228363},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6390390396118164},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6322029829025269},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.5283428430557251},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.49776461720466614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4692387878894806},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3573145866394043},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32953035831451416},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.23339107632637024},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2310945987701416},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18394625186920166},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.12805944681167603},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09027478098869324},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera.2018.8477226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th 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/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W106870163","https://openalex.org/W2075457132","https://openalex.org/W2098420572","https://openalex.org/W2118677368","https://openalex.org/W2143398792","https://openalex.org/W2145327091","https://openalex.org/W2250204759","https://openalex.org/W2516812842","https://openalex.org/W2595872942","https://openalex.org/W6604378540","https://openalex.org/W6674917748","https://openalex.org/W6681292907","https://openalex.org/W6681699098","https://openalex.org/W6691393523"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2161008081","https://openalex.org/W2100947578","https://openalex.org/W1555832326","https://openalex.org/W4298186509","https://openalex.org/W2556702969","https://openalex.org/W217221262","https://openalex.org/W611030372","https://openalex.org/W1974418053","https://openalex.org/W2081317458"],"abstract_inverted_index":{"Online":[0],"social":[1,39],"media":[2,40],"have":[3,28],"immense":[4],"data":[5],"day":[6,8],"after":[7],"because":[9],"online":[10,43],"users":[11,27,49],"to":[12,50,80,88,123],"connect":[13],"each":[14],"other,":[15],"build":[16],"their":[17,20,24,52,55],"community,":[18],"share":[19],"attitudes":[21,105],"and":[22,54,67,73,148],"publish":[23],"opinions.":[25],"The":[26,61],"become":[29],"an":[30],"important":[31],"source":[32],"of":[33,36,82,92],"content.":[34],"One":[35],"the":[37,48,58,90,99,107,129,133],"most":[38],"platforms":[41],"is":[42,64,87],"debate":[44,62,109],"forums":[45],"which":[46],"allow":[47],"express":[51],"attitude":[53],"feelings":[56],"towards":[57,113],"different":[59,141],"issues.":[60],"post":[63],"informal":[65],"language":[66],"non-standard":[68],"expressions":[69],"are":[70,77,116],"very":[71],"used,":[72],"many":[74],"spelling":[75],"errors":[76],"found":[78,117],"due":[79],"absence":[81],"correctness":[83],"verification.":[84],"Our":[85],"goal":[86],"use":[89],"results":[91],"applying":[93],"stance":[94,146],"mining":[95],"in":[96,145],"public":[97,114],"area":[98],"attempt":[100],"at":[101],"automatically":[102],"collecting":[103],"user's":[104],"from":[106,142],"political":[108,121],"forum":[110],"where":[111],"opinions":[112],"issues":[115],"for":[118],"government":[119],"or":[120],"organizations":[122],"make":[124],"decisions.":[125],"This":[126],"paper":[127],"presents":[128],"linguistic":[130],"features":[131,137,144],"combining":[132],"part-of-speech":[134],"(POS)":[135],"tagging":[136],"with":[138],"tf-idf":[139],"weights":[140],"ordinary":[143],"classification":[147],"gets":[149],"a":[150],"good":[151],"accuracy.":[152]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}