{"id":"https://openalex.org/W3112731841","doi":"https://doi.org/10.1109/bigdata50022.2020.9378461","title":"Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information","display_name":"Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3112731841","doi":"https://doi.org/10.1109/bigdata50022.2020.9378461","mag":"3112731841"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.02939","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056005531","display_name":"Tunazzina Islam","orcid":"https://orcid.org/0000-0001-6714-973X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tunazzina Islam","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032121234","display_name":"Dan Goldwasser","orcid":"https://orcid.org/0000-0001-9326-8601"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Goldwasser","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056005531"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.8919,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78730608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"4241","last_page":"4249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9891999959945679,"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/happiness","display_name":"Happiness","score":0.8597685098648071},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.6690000295639038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5450742840766907},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49181893467903137},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4667539596557617},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4614737033843994},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4549803137779236},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.4386553466320038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3959340453147888},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3732435703277588},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.23929065465927124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21306249499320984},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15424257516860962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11351662874221802}],"concepts":[{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.8597685098648071},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.6690000295639038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5450742840766907},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49181893467903137},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4667539596557617},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4614737033843994},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4549803137779236},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.4386553466320038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3959340453147888},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3732435703277588},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.23929065465927124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21306249499320984},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15424257516860962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11351662874221802},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.02939","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02939","pdf_url":"https://arxiv.org/pdf/2012.02939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.02939","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02939","pdf_url":"https://arxiv.org/pdf/2012.02939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W6274171","https://openalex.org/W6908809","https://openalex.org/W17944974","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1665214252","https://openalex.org/W1770543141","https://openalex.org/W1966797434","https://openalex.org/W1971222444","https://openalex.org/W1996430422","https://openalex.org/W2004974797","https://openalex.org/W2033390084","https://openalex.org/W2054646154","https://openalex.org/W2061019085","https://openalex.org/W2062009832","https://openalex.org/W2064675550","https://openalex.org/W2066064791","https://openalex.org/W2103250049","https://openalex.org/W2105468141","https://openalex.org/W2119595472","https://openalex.org/W2123177171","https://openalex.org/W2133564696","https://openalex.org/W2143428876","https://openalex.org/W2153803020","https://openalex.org/W2165698076","https://openalex.org/W2168493061","https://openalex.org/W2243102096","https://openalex.org/W2253640982","https://openalex.org/W2270244898","https://openalex.org/W2300520818","https://openalex.org/W2316993542","https://openalex.org/W2512549881","https://openalex.org/W2527467788","https://openalex.org/W2568257901","https://openalex.org/W2611484930","https://openalex.org/W2740775823","https://openalex.org/W2741447225","https://openalex.org/W2891575196","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2950494808","https://openalex.org/W2950541952","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2962848499","https://openalex.org/W2963039068","https://openalex.org/W2963145593","https://openalex.org/W2963291843","https://openalex.org/W2963341956","https://openalex.org/W2963847116","https://openalex.org/W2964199361","https://openalex.org/W2964225806","https://openalex.org/W2964308564","https://openalex.org/W2971336321","https://openalex.org/W2972065609","https://openalex.org/W4293370311","https://openalex.org/W4297571622","https://openalex.org/W4394641136","https://openalex.org/W6600249337","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6637242042","https://openalex.org/W6638042898","https://openalex.org/W6679434410","https://openalex.org/W6690739248","https://openalex.org/W6693738255","https://openalex.org/W6736751715","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6764186829"],"related_works":["https://openalex.org/W2032086542","https://openalex.org/W2347830809","https://openalex.org/W2377373329","https://openalex.org/W4386390828","https://openalex.org/W162406202","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2154758532"],"abstract_inverted_index":{"Although":[0],"yoga":[1,32,46,92,123],"is":[2,21],"a":[3,23,96,129,144],"multi-component":[4],"practice":[5],"to":[6,15,31,133],"hone":[7],"the":[8,41,67,102,119],"body":[9],"and":[10,12,18,47,53,81,114],"mind":[11],"be":[13],"known":[14],"reduce":[16],"anxiety":[17],"depression,":[19],"there":[20,154],"still":[22],"gap":[24],"in":[25,33],"understanding":[26],"people's":[27],"emotional":[28,87,120],"state":[29,121],"related":[30],"social":[34,113],"media.":[35],"In":[36],"this":[37],"study,":[38],"we":[39,69,94,127],"investigate":[40],"causal":[42,64],"relationship":[43],"between":[44],"practicing":[45],"being":[48],"happy":[49],"by":[50,110],"incorporating":[51],"textual":[52,115],"temporal":[54],"information":[55],"of":[56,104,122],"users":[57,124,157],"using":[58],"Granger":[59],"causality.":[60],"To":[61,89],"find":[62],"out":[63],"features":[65],"from":[66,136],"text,":[68],"measure":[70],"two":[71],"variables":[72],"(i)":[73],"Yoga":[74],"activity":[75],"level":[76,84],"based":[77,85,100],"on":[78,86,101,143,149],"content":[79],"analysis":[80],"(ii)":[82],"Happiness":[83],"state.":[88],"understand":[90],"users'":[91,112],"activity,":[93],"propose":[95],"joint":[97],"embedding":[98],"model":[99,141],"fusion":[103],"neural":[105,139],"networks":[106],"with":[107],"attention":[108],"mechanism":[109],"leveraging":[111],"information.":[116],"For":[117],"measuring":[118],"(target":[125],"domain),":[126],"suggest":[128],"transfer":[130,134],"learning":[131],"approach":[132],"knowledge":[135],"an":[137],"attention-based":[138],"network":[140],"trained":[142],"source":[145],"domain.":[146],"Our":[147],"experiment":[148],"Twitter":[150],"dataset":[151],"demonstrates":[152],"that":[153],"are":[155],"1447":[156],"where":[158],"\"yoga":[159],"Granger-causes":[160],"happiness\".":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2020-12-21T00:00:00"}