{"id":"https://openalex.org/W4251899691","doi":"https://doi.org/10.1109/asonam.2014.6921611","title":"An analysis of positivity and negativity attributes of users in twitter","display_name":"An analysis of positivity and negativity attributes of users in twitter","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W4251899691","doi":"https://doi.org/10.1109/asonam.2014.6921611"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2014.6921611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921611","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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/A5019800917","display_name":"Mahnaz Roshanaei","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahnaz Roshanaei","raw_affiliation_strings":["Department of Computer Science, University of Colorado Boulder, Boulder, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Colorado Boulder, Boulder, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112395873","display_name":"Shivakant Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivakant Mishra","raw_affiliation_strings":["Department of Computer Science, University of Colorado Boulder, Boulder, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Colorado Boulder, Boulder, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4793","issue":null,"first_page":"365","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/negativity-effect","display_name":"Negativity effect","score":0.8571083545684814},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.7586251497268677},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6680083870887756},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.653059720993042},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5450714826583862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.525311291217804},{"id":"https://openalex.org/keywords/internet-users","display_name":"Internet users","score":0.444267600774765},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42477500438690186},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.36377182602882385},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3435531258583069},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3203830122947693},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25540316104888916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16703084111213684}],"concepts":[{"id":"https://openalex.org/C7453019","wikidata":"https://www.wikidata.org/wiki/Q16254302","display_name":"Negativity effect","level":2,"score":0.8571083545684814},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7586251497268677},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6680083870887756},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.653059720993042},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5450714826583862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.525311291217804},{"id":"https://openalex.org/C3019036681","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"Internet users","level":3,"score":0.444267600774765},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42477500438690186},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.36377182602882385},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3435531258583069},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3203830122947693},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25540316104888916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16703084111213684},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2014.6921611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921611","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":19,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W1559313656","https://openalex.org/W1978552918","https://openalex.org/W2029830806","https://openalex.org/W2096060684","https://openalex.org/W2100772444","https://openalex.org/W2102953093","https://openalex.org/W2137351972","https://openalex.org/W2140910804","https://openalex.org/W2146111747","https://openalex.org/W2156362071","https://openalex.org/W2162051395","https://openalex.org/W2166154125","https://openalex.org/W2183057873","https://openalex.org/W2243203301","https://openalex.org/W2277876591","https://openalex.org/W6686166439","https://openalex.org/W6690588438","https://openalex.org/W6695062946"],"related_works":["https://openalex.org/W1979174323","https://openalex.org/W2007730130","https://openalex.org/W2947876715","https://openalex.org/W2270187681","https://openalex.org/W2042998190","https://openalex.org/W2000618435","https://openalex.org/W4285465044","https://openalex.org/W2366611053","https://openalex.org/W1731610764","https://openalex.org/W2583331757"],"abstract_inverted_index":{"Effect":[0],"of":[1,25,32,53,76,85,129],"mood":[2],"and":[3,9,23,34,50,61,71,88,103,120,127,139,156,159],"emotion":[4,33],"on":[5,57,124],"a":[6,19,26,39,54,73],"person's":[7],"behavior":[8],"his/her":[10,58],"interactions":[11,62],"with":[12,63],"other":[13,64],"people":[14],"has":[15],"been":[16],"studied":[17],"for":[18,153],"long":[20],"time.":[21],"Positivity":[22],"negativity":[24,51,89],"person":[27],"are":[28],"two":[29],"important":[30,41],"attributes":[31,52,94],"mood.":[35],"Social":[36],"media":[37,110],"is":[38],"very":[40],"platform":[42],"from":[43],"which":[44],"we":[45,69],"can":[46],"glean":[47],"the":[48,83,162],"positivity":[49,87],"user":[55],"based":[56,123],"message":[59],"postings":[60],"users.":[65],"In":[66],"this":[67],"paper,":[68],"study":[70],"analyze":[72],"Twitter":[74],"dataset":[75],"more":[77],"than":[78],"130,000":[79],"users":[80,117,158,168],"to":[81,99,115],"understand":[82],"nature":[84],"their":[86],"attributes.":[90],"We":[91,106,142],"measure":[92],"behavioral":[93,113],"by":[95],"sentiment":[96],"analysis":[97],"relating":[98],"social":[100,109,130,140,171],"personal":[101],"concern":[102],"psychological":[104],"process.":[105],"observe":[107],"that":[108,144],"contains":[111],"useful":[112,149],"cues":[114],"classify":[116],"into":[118],"positive":[119,155],"negative":[121,157,167],"groups":[122],"network":[125],"density":[126],"degree":[128],"activity":[131],"either":[132],"in":[133,150],"information":[134],"sharing":[135],"or":[136],"emotional":[137],"interaction":[138],"awareness.":[141],"believe":[143],"our":[145],"findings":[146],"will":[147],"be":[148],"developing":[151],"tools":[152],"predicting":[154],"help":[160],"provide":[161],"best":[163],"recommendation":[164],"towards":[165],"helping":[166],"through":[169],"online":[170],"media.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}