{"id":"https://openalex.org/W2786064630","doi":"https://doi.org/10.1109/ic3.2017.8284309","title":"Are tweets the real estimators of election results?","display_name":"Are tweets the real estimators of election results?","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2786064630","doi":"https://doi.org/10.1109/ic3.2017.8284309","mag":"2786064630"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2017.8284309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2017.8284309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Tenth International Conference on Contemporary Computing (IC3)","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/A5028205679","display_name":"Munaza Ramzan","orcid":"https://orcid.org/0000-0001-7766-1905"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Munaza Ramzan","raw_affiliation_strings":["Department of Computer Science, JIIT Noida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, JIIT Noida","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078384737","display_name":"Shikha Mehta","orcid":"https://orcid.org/0000-0002-2601-6284"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikha Mehta","raw_affiliation_strings":["Department of Computer Science, JIIT Noida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, JIIT Noida","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069653749","display_name":"E. Annapoorna","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Annapoorna","raw_affiliation_strings":["Department of Computer Science, JIIT Noida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, JIIT Noida","institution_ids":["https://openalex.org/I154970844"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2392,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85896719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9483000040054321,"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":0.8132579326629639},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.694011926651001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6496400237083435},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6324759125709534},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.500267744064331},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.44650083780288696},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4060204029083252},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3453393876552582},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34442150592803955},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.34229451417922974},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.32823920249938965},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.289542555809021},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22108864784240723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15878430008888245},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13401523232460022},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.11941629648208618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10597151517868042},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.059694647789001465}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8132579326629639},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.694011926651001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496400237083435},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6324759125709534},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.500267744064331},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.44650083780288696},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4060204029083252},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3453393876552582},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34442150592803955},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.34229451417922974},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.32823920249938965},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.289542555809021},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22108864784240723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15878430008888245},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13401523232460022},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.11941629648208618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10597151517868042},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.059694647789001465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2017.8284309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2017.8284309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Tenth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W1574454071","https://openalex.org/W1895242780","https://openalex.org/W2112744748","https://openalex.org/W2115023510","https://openalex.org/W2123329834","https://openalex.org/W2149233311","https://openalex.org/W2293192657","https://openalex.org/W2963629118","https://openalex.org/W7024544404"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2021183651","https://openalex.org/W2017590198","https://openalex.org/W2353191283"],"abstract_inverted_index":{"A":[0],"medium":[1],"with":[2,36,85,127],"a":[3,66],"huge":[4],"amount":[5,96],"of":[6,19,39,88,97,138],"information":[7],"like":[8],"Twitter,":[9],"can":[10,51],"be":[11,52],"analyzed":[12],"for":[13,101,113],"surveying":[14],"the":[15,20,30,37,59,77,86,92,115,128,132,136,142],"opinions":[16],"or":[17,62],"sentiments":[18],"public":[21,40],"towards":[22],"future":[23],"leaders.":[24],"This":[25],"paper":[26,45],"focuses":[27],"on":[28,42,91,107],"predicting":[29,58],"winning":[31,139],"party":[32,140],"in":[33,57],"UP":[34,78],"elections":[35],"help":[38,87],"opinion":[41,81],"Twitter.":[43],"The":[44],"intends":[46],"to":[47,73,120],"understand":[48],"whether":[49],"tweets":[50,75,98,109],"used":[53,72],"as":[54,118],"useful":[55],"method":[56],"election":[60,134],"results":[61],"is":[63,71,82,146],"it":[64],"just":[65],"social":[67],"hype.":[68],"Twitter":[69],"API":[70],"extract":[74],"about":[76],"elections.":[79],"Public":[80],"then":[83],"ascertained":[84],"sentiment":[89],"analysis":[90,145],"tweets.":[93],"After":[94],"sufficient":[95],"are":[99,104],"collected":[100],"analysis,":[102],"we":[103],"simply":[105],"expanding":[106],"positive":[108],"and":[110,131],"getting":[111],"45.13%":[112],"BJP,":[114],"highest":[116],"percentage":[117],"compared":[119],"other":[121],"parties.":[122],"On":[123],"comparing":[124],"this":[125],"result":[126],"exit":[129],"polls":[130],"actual":[133],"results,":[135],"prediction":[137],"by":[141],"twitter":[143],"data":[144],"correct.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}