{"id":"https://openalex.org/W3015545846","doi":"https://doi.org/10.1109/kst48564.2020.9059411","title":"#Walangpasok on Twitter: Natural language processing as a method for analyzing tweets on class suspensions in the Philippines","display_name":"#Walangpasok on Twitter: Natural language processing as a method for analyzing tweets on class suspensions in the Philippines","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015545846","doi":"https://doi.org/10.1109/kst48564.2020.9059411","mag":"3015545846"},"language":"en","primary_location":{"id":"doi:10.1109/kst48564.2020.9059411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","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/A5086306062","display_name":"Jeffrey Rosario Ancheta","orcid":"https://orcid.org/0000-0001-5831-8204"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Jeffrey Rosario Ancheta","raw_affiliation_strings":["Departamento ng Filipino, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Departamento ng Filipino, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084616162","display_name":"Ken Gorro","orcid":"https://orcid.org/0000-0001-5423-373X"},"institutions":[{"id":"https://openalex.org/I617233","display_name":"University of San Carlos","ror":"https://ror.org/041jw5813","country_code":"PH","type":"education","lineage":["https://openalex.org/I617233"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Ken D. Gorro","raw_affiliation_strings":["Political Science Department, University of San Carlos, Cebu City, Philippines"],"affiliations":[{"raw_affiliation_string":"Political Science Department, University of San Carlos, Cebu City, Philippines","institution_ids":["https://openalex.org/I617233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081424875","display_name":"Mark Anthony D. Uy","orcid":null},"institutions":[{"id":"https://openalex.org/I134037030","display_name":"University of the East","ror":"https://ror.org/03mjcd737","country_code":"PH","type":"education","lineage":["https://openalex.org/I134037030"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Mark Anthony D. Uy","raw_affiliation_strings":["College of Computer Studies and Systems, University of the East-Manila, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"College of Computer Studies and Systems, University of the East-Manila, Manila, Philippines","institution_ids":["https://openalex.org/I134037030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086306062"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83177273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"103","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.974399983882904,"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":0.974399983882904,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.95660001039505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8112627267837524},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.770164966583252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653147578239441},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6741734743118286},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6005313396453857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5976001024246216},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5741868019104004},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.573122501373291},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5715160369873047},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5378434062004089},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5262935757637024},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5146394968032837},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.45959529280662537},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.441975474357605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4060194492340088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3857221305370331},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28570622205734253}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8112627267837524},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.770164966583252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653147578239441},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6741734743118286},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6005313396453857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5976001024246216},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5741868019104004},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.573122501373291},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5715160369873047},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5378434062004089},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5262935757637024},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5146394968032837},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.45959529280662537},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.441975474357605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4060194492340088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3857221305370331},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28570622205734253},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst48564.2020.9059411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W50740790","https://openalex.org/W82712395","https://openalex.org/W91442942","https://openalex.org/W149140206","https://openalex.org/W1590495275","https://openalex.org/W1614298861","https://openalex.org/W1684832230","https://openalex.org/W1984739144","https://openalex.org/W2031213082","https://openalex.org/W2031850347","https://openalex.org/W2059944506","https://openalex.org/W2064464026","https://openalex.org/W2098201295","https://openalex.org/W2110505218","https://openalex.org/W2118480788","https://openalex.org/W2124499489","https://openalex.org/W2208967483","https://openalex.org/W2252211741","https://openalex.org/W2294231658","https://openalex.org/W2539254112","https://openalex.org/W2625714162","https://openalex.org/W2781824322","https://openalex.org/W2791720225","https://openalex.org/W2795724839","https://openalex.org/W2883135826","https://openalex.org/W2950577311","https://openalex.org/W4210706177","https://openalex.org/W6602161366","https://openalex.org/W6603405191","https://openalex.org/W6603689333","https://openalex.org/W6606132508","https://openalex.org/W6637433751"],"related_works":["https://openalex.org/W2611554154","https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,27,49,79],"aim":[4],"to":[5,185,191,222],"prove":[6],"that":[7,122,170,193],"natural":[8],"language":[9],"processing":[10],"(NLP)":[11],"can":[12,214],"be":[13,215,220],"used":[14],"as":[15,207],"a":[16,146,208],"method":[17,209],"for":[18,104],"analyzing":[19],"qualitative":[20,211,226],"data":[21,188,212],"like":[22],"tweets.":[23],"To":[24],"validate":[25],"this,":[26],"examine":[28],"various":[29,51],"topics":[30,121],"emerging":[31],"from":[32,69],"tweets":[33],"about":[34],"class":[35,131],"suspensions":[36],"in":[37,224,229],"the":[38,58,61,120,154,162,171,174,187,194,198,203,230],"Philippines":[39],"using":[40,107,124,177,197],"#walangpasok":[41],"(no":[42],"classes).":[43],"By":[44],"utilizing":[45],"three":[46],"NLP":[47,178,206],"techniques,":[48],"presented":[50],"topics.":[52],"Using":[53],"Latent":[54],"Dirichlet":[55],"Allocation":[56],"(LDA),":[57],"study":[59,172],"identified":[60],"following:":[62],"(1)":[63,81,127],"information":[64],"dissemination":[65,84],"and":[66,72,83,87,93,139,143,190,218],"public":[67],"announcements":[68],"government":[70,91],"offices,":[71],"(2)":[73,89,130],"sentiments":[74,95,142],"of":[75,85,96,117,136,150,165,205,210,232],"students.":[76],"Through":[77],"Word2Vec,":[78],"generated":[80,152],"monitoring":[82],"alerts":[86],"warnings,":[88],"local":[90,137],"accountability,":[92],"(3)":[94,134],"Twitter":[97],"users.":[98],"An":[99],"intrinsic":[100],"evaluation":[101],"was":[102,158],"conducted":[103],"word2vec":[105],"model":[106],"cosine":[108,115],"similarity.":[109],"The":[110,148],"word-groups":[111],"have":[112],"an":[113],"average":[114],"similarity":[116],"0.997811.":[118],"Lastly,":[119],"emerged":[123],"K-means":[125],"are":[126,200],"weather":[128],"advisory,":[129],"suspension":[132],"announcements,":[133],"role":[135],"government,":[138],"(4)":[140],"users'":[141],"outlook":[144],"towards":[145],"situation.":[147],"number":[149],"clusters":[151],"by":[153],"k-means":[155],"clustering":[156],"algorithm":[157],"decided":[159],"based":[160],"on":[161],"silhouette":[163],"score":[164],"0.0153423865462.":[166],"It":[167],"turns":[168],"out":[169],"provided":[173],"same":[175],"results":[176,196],"techniques.":[179],"We":[180],"also":[181],"performed":[182],"open":[183],"coding":[184],"analyze":[186],"manually":[189],"ensure":[192],"obtained":[195],"techniques":[199],"accurate.":[201],"Thus,":[202],"use":[204,223],"analysis":[213],"considered":[216],"reliable":[217],"may":[219],"recommended":[221],"other":[225],"research,":[227],"particularly":[228],"field":[231],"social":[233],"sciences.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}