{"id":"https://openalex.org/W2922370875","doi":"https://doi.org/10.1109/icosc.2019.8665530","title":"Predicting Community Engagement on Twitter on Environmental Health Hazards","display_name":"Predicting Community Engagement on Twitter on Environmental Health Hazards","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922370875","doi":"https://doi.org/10.1109/icosc.2019.8665530","mag":"2922370875"},"language":"en","primary_location":{"id":"doi:10.1109/icosc.2019.8665530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","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/A5029410953","display_name":"Adel Alshchri","orcid":null},"institutions":[{"id":"https://openalex.org/I1284598098","display_name":"King Abdulaziz City for Science and Technology","ror":"https://ror.org/05tdz6m39","country_code":"SA","type":"facility","lineage":["https://openalex.org/I1284598098"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Adel Alshchri","raw_affiliation_strings":["King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I1284598098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052282449","display_name":"Wainella Isaacs","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wainella Isaacs","raw_affiliation_strings":["Dept. of Civil and Environmental Engineering, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. of Civil and Environmental Engineering, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034426215","display_name":"Aseel Addawood","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aseel Addawood","raw_affiliation_strings":["Illinois Informatics Institute, University of Illinois at Urbana Champaign, Champaign, Illinois"],"affiliations":[{"raw_affiliation_string":"Illinois Informatics Institute, University of Illinois at Urbana Champaign, Champaign, Illinois","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072919342","display_name":"Maya A. Trotz","orcid":"https://orcid.org/0000-0002-1911-2534"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maya Trotz","raw_affiliation_strings":["Dept. of Civil and Environmental Engineering, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. of Civil and Environmental Engineering, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030081020","display_name":"Sriram Chellappan","orcid":"https://orcid.org/0000-0002-5330-8549"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sriram Chellappan","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029410953"],"corresponding_institution_ids":["https://openalex.org/I1284598098"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02956133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"450","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9925000071525574,"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":0.979200005531311,"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/random-forest","display_name":"Random forest","score":0.7876213788986206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681566596031189},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6556166410446167},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6190595626831055},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.555889904499054},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5454039573669434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5243913531303406},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.497922420501709},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.47834107279777527},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4750416576862335},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4617287218570709},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.419364869594574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3369806408882141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3291076123714447},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.23144471645355225}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7876213788986206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681566596031189},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6556166410446167},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6190595626831055},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.555889904499054},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5454039573669434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5243913531303406},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.497922420501709},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.47834107279777527},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4750416576862335},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4617287218570709},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.419364869594574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3369806408882141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3291076123714447},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.23144471645355225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icosc.2019.8665530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322997","display_name":"King Abdulaziz City for Science and Technology","ror":"https://ror.org/05tdz6m39"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1410460","https://openalex.org/W1520636430","https://openalex.org/W1684832230","https://openalex.org/W1924689489","https://openalex.org/W2008056655","https://openalex.org/W2020360881","https://openalex.org/W2029376411","https://openalex.org/W2033458688","https://openalex.org/W2057026632","https://openalex.org/W2081212507","https://openalex.org/W2133990480","https://openalex.org/W2135035282","https://openalex.org/W2149706766","https://openalex.org/W2150747245","https://openalex.org/W2159383898","https://openalex.org/W2170178584","https://openalex.org/W2205860620","https://openalex.org/W2559931075","https://openalex.org/W2805961849","https://openalex.org/W2911964244","https://openalex.org/W4236137412","https://openalex.org/W6631156389","https://openalex.org/W6637433751","https://openalex.org/W6640261747"],"related_works":["https://openalex.org/W4376528628","https://openalex.org/W4389138951","https://openalex.org/W1537592868","https://openalex.org/W2470590370","https://openalex.org/W3207192536","https://openalex.org/W2910954186","https://openalex.org/W1748436461","https://openalex.org/W3093482772","https://openalex.org/W2002271516","https://openalex.org/W3172103400"],"abstract_inverted_index":{"In":[0],"this":[1],"empirical":[2],"study,":[3],"a":[4,19,99],"framework":[5],"was":[6,46,60,125],"developed":[7],"for":[8,36,84,107],"binary":[9,44,111],"and":[10,82,95,109],"multi-class":[11,118],"classification":[12,45,59,112],"of":[13,25,71,90],"Twitter":[14],"data.":[15],"We":[16],"first":[17],"introduce":[18],"manually":[20],"built":[21],"gold":[22],"standard":[23],"dataset":[24],"4000":[26],"tweets":[27,67],"related":[28],"to":[29,48,63],"the":[30,37,43,57,104,126],"environmental":[31],"health":[32],"hazards":[33],"in":[34],"Barbados":[35],"period":[38],"2014":[39],"\u2013":[40],"2018.":[41],"Then,":[42],"used":[47,62],"categorize":[49],"each":[50],"tweet":[51],"as":[52],"relevant":[53,66],"or":[54],"irrelevant.":[55],"Next,":[56],"multiclass":[58],"then":[61],"further":[64],"classify":[65],"into":[68],"four":[69],"types":[70],"community":[72],"engagement:":[73],"reporting":[74],"information,":[75],"expressing":[76,79],"negative":[77],"engagement,":[78,81],"positive":[80],"asking":[83],"information.":[85],"Results":[86],"indicate":[87],"that":[88],"(combination":[89],"TF-IDF,":[91],"psychometric,":[92],"linguistic,":[93],"sentiment":[94],"Twitter-specific":[96],"features)":[97],"using":[98,121],"Random":[100],"Forest":[101],"algorithm":[102,124],"is":[103],"best":[105,127],"feature":[106],"detecting":[108],"predicting":[110],"with":[113,128],"(87%":[114],"F1":[115,130],"score).":[116,131],"For":[117],"classification,":[119],"TF-IDF":[120],"Decision":[122],"Tree":[123],"(74%":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}