{"id":"https://openalex.org/W2914479878","doi":"https://doi.org/10.1109/bigdata.2018.8622367","title":"Calibrating User Bias In Sentiment Estimation From Social Media","display_name":"Calibrating User Bias In Sentiment Estimation From Social Media","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914479878","doi":"https://doi.org/10.1109/bigdata.2018.8622367","mag":"2914479878"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5005473568","display_name":"Sara Kangaslahti","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sara Kangaslahti","raw_affiliation_strings":["Harvard-Westlake School, Los Angeles, California"],"affiliations":[{"raw_affiliation_string":"Harvard-Westlake School, Los Angeles, California","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101478918","display_name":"Anoop Kumar","orcid":"https://orcid.org/0009-0004-7029-4697"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anoop Kumar","raw_affiliation_strings":["Information Sciences Institute, University of Southern California, California"],"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, University of Southern California, California","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005473568"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18025778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"3682","last_page":"3690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.8107320666313171},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7961671352386475},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7744348049163818},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6930562257766724},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5840814113616943},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5496821403503418},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.46177494525909424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4283739924430847},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36916184425354004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36649584770202637},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19273307919502258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107320666313171},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7961671352386475},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7744348049163818},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6930562257766724},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5840814113616943},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5496821403503418},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.46177494525909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4283739924430847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36916184425354004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36649584770202637},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19273307919502258},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1883589948","https://openalex.org/W1968188631","https://openalex.org/W1991015079","https://openalex.org/W1994757795","https://openalex.org/W2049434052","https://openalex.org/W2055052620","https://openalex.org/W2099813784","https://openalex.org/W2122369144","https://openalex.org/W2171468534","https://openalex.org/W2250879510","https://openalex.org/W2250886571","https://openalex.org/W2259387181","https://openalex.org/W2462290672","https://openalex.org/W2542080616","https://openalex.org/W2585584102","https://openalex.org/W2741809018","https://openalex.org/W2783426808","https://openalex.org/W2794710198","https://openalex.org/W2794774228","https://openalex.org/W2799224341","https://openalex.org/W6675143072","https://openalex.org/W6692582243"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2348524959","https://openalex.org/W2518037665","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W4294565801","https://openalex.org/W2142306706","https://openalex.org/W2093123876"],"abstract_inverted_index":{"The":[0,122],"popularity":[1],"of":[2,16,59,65,76,97,148,160],"social":[3],"media":[4],"websites":[5],"to":[6,11,19,26,50,79,91,127,164],"share":[7],"information":[8],"has":[9,43],"led":[10],"the":[12,21,28,39,57,74,77,85,95,107,110,114,146,161,167],"development":[13],"and":[14,116],"application":[15],"computational":[17],"algorithms":[18,55],"use":[20],"content":[22,75],"on":[23],"such":[24,138],"sites":[25],"estimate":[27,51,128],"sentiment":[29,58,96,120,129,150],"at":[30],"a":[31,48,63,69,81,102,118,131,140,152],"given":[32,132],"time":[33,133,162],"towards":[34,135,151],"an":[35,136,143],"entity.":[36],"In":[37],"particular,":[38],"micro-blogging":[40],"website":[41],"Twitter":[42],"been":[44],"extensively":[45],"used":[46,126],"as":[47,139],"sensor":[49],"mass":[52],"sentiment.":[53,86],"Current":[54],"detect":[56],"tweets":[60],"by":[61,113,166],"applying":[62],"set":[64],"rules":[66],"or":[67,142],"building":[68],"machine":[70],"learning":[71],"model":[72],"using":[73,109],"message":[78],"compute":[80],"score":[82],"that":[83,105],"indicates":[84],"These":[87],"scores":[88],"are":[89],"agnostic":[90],"inherent":[92],"bias":[93,108],"in":[94],"each":[98],"user.":[99],"We":[100],"propose":[101],"new":[103],"approach":[104,155],"models":[106],"messages":[111],"posted":[112],"user":[115],"generates":[117],"normalized":[119],"score.":[121],"method":[123],"can":[124],"be":[125],"over":[130],"period":[134],"entity":[137],"company":[141],"organization.":[144],"For":[145],"task":[147],"predicting":[149],"company,":[153],"our":[154],"matches":[156],"Google":[157],"Trends":[158],"55%":[159],"compared":[163],"35%":[165],"non-normalized":[168],"approach.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
