{"id":"https://openalex.org/W2619555203","doi":"https://doi.org/10.1145/3085228.3085285","title":"Sentiment based Analysis of Tweets during the US Presidential Elections","display_name":"Sentiment based Analysis of Tweets during the US Presidential Elections","publication_year":2017,"publication_date":"2017-05-31","ids":{"openalex":"https://openalex.org/W2619555203","doi":"https://doi.org/10.1145/3085228.3085285","mag":"2619555203"},"language":"en","primary_location":{"id":"doi:10.1145/3085228.3085285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3085228.3085285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Annual International Conference on Digital Government Research","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/A5075685641","display_name":"Ussama Yaqub","orcid":"https://orcid.org/0000-0002-8452-2089"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ussama Yaqub","raw_affiliation_strings":["Rutgers Business School, Newark, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers Business School, Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036705478","display_name":"Soon Ae Chun","orcid":null},"institutions":[{"id":"https://openalex.org/I142393192","display_name":"College of Staten Island","ror":"https://ror.org/02p179j44","country_code":"US","type":"education","lineage":["https://openalex.org/I142393192"]},{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soon Ae Chun","raw_affiliation_strings":["IS & Informatics, CSI City University of New York, Staten Island, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IS & Informatics, CSI City University of New York, Staten Island, NY, USA","institution_ids":["https://openalex.org/I142393192","https://openalex.org/I174216632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084845728","display_name":"Vijayalakshmi Atluri","orcid":"https://orcid.org/0000-0003-2068-780X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijayalakshmi Atluri","raw_affiliation_strings":["Rutgers Business School, Newark, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers Business School, Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034878799","display_name":"Jaideep Vaidya","orcid":"https://orcid.org/0000-0002-7420-6947"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaideep Vaidya","raw_affiliation_strings":["Rutgers Business School, Newark, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers Business School, Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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":0.9991000294685364,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.991100013256073,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8324658274650574},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.6944479942321777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6117773056030273},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4014270007610321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39935266971588135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.378086119890213},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.28026285767555237},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.0677422285079956},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.061475664377212524}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8324658274650574},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.6944479942321777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6117773056030273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4014270007610321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39935266971588135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.378086119890213},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.28026285767555237},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0677422285079956},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.061475664377212524}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3085228.3085285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3085228.3085285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Annual International Conference on Digital Government Research","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.01RUT_INST:11663372640004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/conferenceProceeding/Sentiment-based-Analysis-of-Tweets-during/991031653871904646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W153654188","https://openalex.org/W1495512916","https://openalex.org/W1542344929","https://openalex.org/W1590495275","https://openalex.org/W1591008508","https://openalex.org/W1792150330","https://openalex.org/W1953503995","https://openalex.org/W1996263819","https://openalex.org/W2004214228","https://openalex.org/W2005311637","https://openalex.org/W2019993800","https://openalex.org/W2024614582","https://openalex.org/W2032461866","https://openalex.org/W2072715695","https://openalex.org/W2086037720","https://openalex.org/W2096870307","https://openalex.org/W2101196063","https://openalex.org/W2104144355","https://openalex.org/W2105247391","https://openalex.org/W2121071887","https://openalex.org/W2122305905","https://openalex.org/W2122369144","https://openalex.org/W2129185571","https://openalex.org/W2145446394","https://openalex.org/W2151573112","https://openalex.org/W2212154270","https://openalex.org/W2259382824","https://openalex.org/W2420961574","https://openalex.org/W2504312364","https://openalex.org/W2540795244","https://openalex.org/W2595724883","https://openalex.org/W2622437746","https://openalex.org/W3004121134","https://openalex.org/W3104987177","https://openalex.org/W4239946314","https://openalex.org/W4387556195","https://openalex.org/W7005940741"],"related_works":["https://openalex.org/W2606962271","https://openalex.org/W645512964","https://openalex.org/W2154519170","https://openalex.org/W2086460054","https://openalex.org/W1604650372","https://openalex.org/W2098310533","https://openalex.org/W2189207620","https://openalex.org/W3168885418","https://openalex.org/W1983680744","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0,61],"a":[1,14,49],"relatively":[2],"short":[3],"period":[4],"of":[5,28,70,84,89,99,121,128,139],"time,":[6],"social":[7,31],"media":[8,32,59],"has":[9],"gained":[10],"significant":[11],"importance":[12],"as":[13,35],"mass":[15],"communication":[16],"and":[17,23,39,53,68,107,119,136,151,157],"public":[18],"engagement":[19],"tool":[20],"for":[21],"political":[22,72],"governance":[24],"purposes.":[25],"Rapid":[26],"dissemination":[27],"information":[29],"through":[30],"platforms":[33],"such":[34],"Twitter,":[36],"provides":[37],"politicians":[38],"campaigners":[40],"with":[41,124,130,154],"the":[42,57,66,71,80,109,117,126],"ability":[43],"to":[44,48,93,115,132,145],"broadcast":[45],"their":[46,133,140,152],"message":[47],"wide":[50],"audience":[51],"instantly":[52],"directly":[54],"while":[55],"bypassing":[56],"traditional":[58],"channels.":[60],"this":[62,90],"paper,":[63],"we":[64],"investigate":[65],"nature":[67,118],"characteristics":[69],"discourse":[73],"that":[74,102],"took":[75],"place":[76],"on":[77],"Twitter":[78,100,134,148],"during":[79],"American":[81],"Presidential":[82],"elections":[83],"November":[85],"2016.":[86],"The":[87],"goal":[88],"study":[91],"is":[92,114],"perform":[94],"exploratory":[95],"sentiment":[96,120],"based":[97],"analysis":[98],"data":[101],"was":[103],"gathered":[104],"both":[105],"before":[106],"after":[108],"Election":[110],"Day.":[111],"Our":[112],"objective":[113],"identify":[116],"discussions":[122],"along":[123],"understanding":[125],"behavior":[127],"users":[129],"respect":[131],"profile":[135],"associated":[137],"attributes":[138],"tweets.":[141],"We":[142],"also":[143],"aim":[144],"inspect":[146],"popular":[147],"discussion":[149],"topics":[150],"relation":[153],"important":[155],"news":[156],"events":[158],"occurring":[159],"simultaneously.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}