{"id":"https://openalex.org/W4405200182","doi":"https://doi.org/10.1145/3698062.3698089","title":"Comparing Semi-Supervised Machine Learning Algorithms to Sentiment Analysis on English and Filipino Tweets during the POGO Probe","display_name":"Comparing Semi-Supervised Machine Learning Algorithms to Sentiment Analysis on English and Filipino Tweets during the POGO Probe","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4405200182","doi":"https://doi.org/10.1145/3698062.3698089"},"language":"en","primary_location":{"id":"doi:10.1145/3698062.3698089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698062.3698089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 The 6th World Symposium on Software Engineering (WSSE)","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/A5053709346","display_name":"Julio Jerison E. Macrohon","orcid":"https://orcid.org/0000-0003-2738-4932"},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Julio Jerison Escudero Macrohon","raw_affiliation_strings":["Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053709346"],"corresponding_institution_ids":["https://openalex.org/I98298690"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20024094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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":0.9984999895095825,"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":0.998199999332428,"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":0.9958000183105469,"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":0.7512202858924866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6879621744155884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6129775047302246},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5903844237327576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44075578451156616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38771864771842957}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7512202858924866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879621744155884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129775047302246},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5903844237327576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44075578451156616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38771864771842957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3698062.3698089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698062.3698089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 The 6th World Symposium on Software Engineering (WSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1969198379","https://openalex.org/W2097089247","https://openalex.org/W2101210369","https://openalex.org/W2111316763","https://openalex.org/W2139823104","https://openalex.org/W2790363632","https://openalex.org/W2984353870","https://openalex.org/W3161138530","https://openalex.org/W4254449218","https://openalex.org/W4303945906","https://openalex.org/W6647676880","https://openalex.org/W6682494755","https://openalex.org/W6696003778","https://openalex.org/W6761184088"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Semi-Supervised":[0],"Machine":[1],"Learning":[2],"was":[3],"created":[4],"as":[5],"a":[6],"hybrid":[7],"approach":[8,32],"where":[9],"training":[10],"data":[11,97],"are":[12],"both":[13,34,74],"labeled":[14],"(supervised)":[15],"and":[16,36,76,82,92,98,107,115,130],"unlabeled":[17,96],"(unsupervised).":[18],"This":[19,39],"research":[20],"compares":[21],"three":[22,88],"algorithms":[23],"that":[24],"make":[25],"use":[26],"of":[27,47,60,63,68,120],"the":[28,45,48,61,66],"semi-supervised":[29],"machine":[30],"learning":[31],"on":[33,122,128],"English":[35,75,129],"Filipino":[37,131],"tweets.":[38],"study":[40],"involves":[41],"tweets":[42,78],"collated":[43],"during":[44],"height":[46],"Philippine":[49],"Offshore":[50],"Gaming":[51],"Operations":[52],"investigation":[53],"involving":[54],"(former)":[55],"Mayor":[56],"Alice":[57],"Leal":[58],"Guo":[59],"Municipality":[62],"Bamban":[64],"in":[65],"Province":[67],"Tarlac.":[69],"Through":[70],"Natural":[71],"Language":[72],"Processing,":[73],"Tagalog":[77],"were":[79],"annotated,":[80],"processed,":[81],"trained":[83],"to":[84],"be":[85],"classified":[86],"into":[87],"polarities:":[89],"positive,":[90],"neutral,":[91],"negative.":[93],"With":[94],"70%":[95],"comparing":[99],"Self-Training":[100],"(with":[101],"Multinomial":[102],"Na\u00efve":[103],"Bayes),":[104],"Label":[105,108,110],"Propagation,":[106],"Spreading,":[109],"Propagation":[111],"bested":[112],"all":[113],"others":[114],"results":[116],"yielded":[117],"an":[118],"accuracy":[119],"89.43%":[121],"testing":[123],"which":[124],"outdone":[125],"previous":[126],"studies":[127],"Twitter":[132],"data.":[133]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}