{"id":"https://openalex.org/W3011686354","doi":"https://doi.org/10.1109/ccwc47524.2020.9031237","title":"Supervised Sentiment Analysis of Twitter Handle of President Trump with Data Visualization Technique","display_name":"Supervised Sentiment Analysis of Twitter Handle of President Trump with Data Visualization Technique","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011686354","doi":"https://doi.org/10.1109/ccwc47524.2020.9031237","mag":"3011686354"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc47524.2020.9031237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031237","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5089684325","display_name":"Kalyan Sahu","orcid":"https://orcid.org/0009-0008-4524-3483"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Sahu","raw_affiliation_strings":["Computer Engineering Program, California State University, Fullerton, Fullerton, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Program, California State University, Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409371","display_name":"Yu Bai","orcid":"https://orcid.org/0000-0002-2303-1120"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Bai","raw_affiliation_strings":["Computer Engineering Program, California State University, Fullerton, Fullerton, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Program, California State University, Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943429","display_name":"Yoonsuk Choi","orcid":"https://orcid.org/0000-0002-8395-1690"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoonsuk Choi","raw_affiliation_strings":["Computer Engineering Program, California State University, Fullerton, Fullerton, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Program, California State University, Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":null,"apc_paid":null,"fwci":1.38,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84579276,"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":"0640","last_page":"0646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9830999970436096,"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/T12488","display_name":"Mental Health via Writing","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7282912731170654},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6885451078414917},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6629577875137329},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5331622362136841},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4578056335449219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3794776499271393},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3418189287185669},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2922009229660034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282912731170654},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6885451078414917},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6629577875137329},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5331622362136841},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4578056335449219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3794776499271393},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3418189287185669},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2922009229660034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc47524.2020.9031237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031237","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W187383899","https://openalex.org/W1741994249","https://openalex.org/W1823156104","https://openalex.org/W1839863673","https://openalex.org/W2019268418","https://openalex.org/W2084046180","https://openalex.org/W2111721792","https://openalex.org/W2111975591","https://openalex.org/W2153673727","https://openalex.org/W2215376118","https://openalex.org/W2267835966","https://openalex.org/W2306941105","https://openalex.org/W2410587250","https://openalex.org/W2471350540","https://openalex.org/W2506633516","https://openalex.org/W2560654344","https://openalex.org/W2571253853","https://openalex.org/W2787889998","https://openalex.org/W2896509206","https://openalex.org/W2950859079","https://openalex.org/W2950974174","https://openalex.org/W3098567156","https://openalex.org/W3102444842","https://openalex.org/W3104758113","https://openalex.org/W6676744775","https://openalex.org/W6693772185","https://openalex.org/W6720500969"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"The":[0,51,121,193],"approval":[1,95,113,191],"rating":[2,114],"of":[3,6,65,79,90,96,124,175],"the":[4,7,19,46,60,63,82,86,93,97,104,139,146,154,159,200,207,217],"President":[5],"United":[8],"States":[9],"(POTUS)":[10],"can":[11,32,210],"be":[12,33,211],"used":[13,212],"to":[14,70],"gauge":[15],"public":[16,94,204],"support":[17],"for":[18,59,162,213],"current":[20,36,52],"administration.":[21],"Public":[22],"support,":[23],"in":[24,45,216],"turn,":[25],"is":[26,56,126],"highly":[27],"dynamic":[28],"and":[29,31,48,111,117,129,150,152,190,206],"erratic,":[30],"influenced":[34],"by":[35,109,172],"events,":[37],"including":[38],"political/economic":[39],"policy":[40],"announcements,":[41],"ongoing":[42],"scandals,":[43],"treatment":[44],"media,":[47],"general":[49,83,208],"propaganda.":[50],"POTUS,":[53],"Donald":[54],"Trump,":[55],"unique":[57],"because,":[58],"first":[61],"time,":[62],"office":[64],"POTUS":[66,91,110,125,187],"has":[67,166],"direct":[68,77],"access":[69],"social":[71,87],"media":[72,88],"platforms":[73],"that":[74,158,202],"offer":[75],"a":[76,131,173,182,196],"avenue":[78],"communication":[80],"with":[81,170],"population.":[84],"Can":[85],"presence":[89],"influence":[92],"administration?":[98],"In":[99],"this":[100],"paper,":[101],"we":[102,156,180],"analyze":[103],"relationship":[105,185],"between":[106,148,186],"tweets":[107,144],"generated":[108],"his":[112],"using":[115],"sentiment-analytics":[116],"data":[118],"visualization":[119],"tools.":[120],"twitter":[122,188],"feed":[123,165],"mined,":[127],"cleaned,":[128],"given":[130],"quantitative":[132],"measure":[133],"based":[134],"on":[135,168,199],"word":[136],"content,":[137],"called":[138],"\u201csentiment":[140],"score\u201d.":[141],"By":[142],"comparing":[143],"before":[145],"election,":[147],"election":[149],"inauguration,":[151,155],"after":[153],"find":[157,181],"sentiment":[160],"score":[161],"Mr.":[163],"Trump's":[164],"increased":[167],"average":[169],"time":[171],"factor":[174],"60%.":[176],"Using":[177],"cross-correlation":[178],"analysis,":[179],"preliminary":[183],"causative":[184],"activity":[189],"rating.":[192],"findings":[194],"provide":[195],"new":[197],"perspective":[198],"forces":[201],"influences":[203],"opinion,":[205],"strategy":[209],"other":[214],"analyses":[215],"future.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
