{"id":"https://openalex.org/W2963611867","doi":"https://doi.org/10.1002/pra2.2017.14505401039","title":"Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise","display_name":"Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963611867","doi":"https://doi.org/10.1002/pra2.2017.14505401039","mag":"2963611867"},"language":"en","primary_location":{"id":"pmh:oai:scholarcommons.sc.edu:libsci_facpub-1415","is_oa":false,"landing_page_url":"https://scholarcommons.sc.edu/libsci_facpub/396","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},"type":"article","indexed_in":[],"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/A5010380816","display_name":"Amir Karami","orcid":"https://orcid.org/0000-0003-1936-7497"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karami, Amir","raw_affiliation_strings":["School of Library and Information Science, University of South Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Library and Information Science, University of South Carolina, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shaw, G., Jr.","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaw, G., Jr.","raw_affiliation_strings":["School of Library and Information Science, University of South Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Library and Information Science, University of South Carolina, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010380816"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":3.7415,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9475485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9616000056266785,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/social-media","display_name":"Social media","score":0.6807687878608704},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6563507318496704},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.5632193684577942},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.5245944857597351},{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.4575859606266022},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.4248034358024597},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4204924702644348},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36357980966567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3533114194869995},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34164494276046753},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26494669914245605},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22021105885505676},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.16986596584320068},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.14843562245368958},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.10706380009651184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08755308389663696}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6807687878608704},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6563507318496704},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5632193684577942},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.5245944857597351},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.4575859606266022},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.4248034358024597},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4204924702644348},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36357980966567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3533114194869995},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34164494276046753},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26494669914245605},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22021105885505676},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.16986596584320068},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.14843562245368958},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.10706380009651184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08755308389663696},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:scholarcommons.sc.edu:libsci_facpub-1415","is_oa":false,"landing_page_url":"https://scholarcommons.sc.edu/libsci_facpub/396","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W200246157","https://openalex.org/W201361503","https://openalex.org/W1437423056","https://openalex.org/W1527789501","https://openalex.org/W1563572320","https://openalex.org/W1590495275","https://openalex.org/W1976323204","https://openalex.org/W1977220675","https://openalex.org/W1989003516","https://openalex.org/W2000256037","https://openalex.org/W2001488574","https://openalex.org/W2019759670","https://openalex.org/W2028744383","https://openalex.org/W2044429219","https://openalex.org/W2079591709","https://openalex.org/W2080875397","https://openalex.org/W2082641330","https://openalex.org/W2083380961","https://openalex.org/W2086869155","https://openalex.org/W2092836166","https://openalex.org/W2101061433","https://openalex.org/W2103483064","https://openalex.org/W2108420397","https://openalex.org/W2113318243","https://openalex.org/W2114345764","https://openalex.org/W2118733706","https://openalex.org/W2118778378","https://openalex.org/W2124234371","https://openalex.org/W2125779593","https://openalex.org/W2126675855","https://openalex.org/W2126854223","https://openalex.org/W2144100511","https://openalex.org/W2148506018","https://openalex.org/W2151172917","https://openalex.org/W2151522859","https://openalex.org/W2167151437","https://openalex.org/W2171468534","https://openalex.org/W2174706414","https://openalex.org/W2213043234","https://openalex.org/W2340855322","https://openalex.org/W4205184193","https://openalex.org/W4211045040","https://openalex.org/W4212842119"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W2348886128","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"Social":[0],"media":[1],"based":[2],"digital":[3],"epidemiology":[4],"has":[5],"the":[6,40,51,64,76,85,112,116,126,140],"potential":[7,136],"to":[8,26,38,50,84,101,138,164],"support":[9,111],"faster":[10],"response":[11],"and":[12,44,60,98,115,125,130,143,160],"deeper":[13],"understanding":[14],"of":[15,53,66,79,108],"public":[16,161],"health":[17,29,42,162],"related":[18,30,46],"threats.":[19],"This":[20],"study":[21,74],"proposes":[22],"a":[23,135],"new":[24,152],"framework":[25,90,133],"analyze":[27],"unstructured":[28],"textual":[31],"data":[32],"via":[33],"Twitter":[34,109],"users'":[35],"post":[36],"(tweets)":[37],"characterize":[39],"negative":[41,54,86,103,106],"sentiments":[43,55,107,144],"non-health":[45],"concerns":[47],"in":[48],"relations":[49],"corpus":[52],"regarding":[56,145],"diet,":[57],"diabetes,":[58],"exercise":[59],"obesity":[61,129],"(DDEO).":[62],"Through":[63],"collection":[65],"six":[67],"million":[68],"Tweets":[69],"for":[70,154],"one":[71],"month,":[72],"this":[73,149],"identified":[75],"prominent":[77],"topics":[78],"users":[80,110],"as":[81],"it":[82],"relates":[83],"sentiments.":[87],"Our":[88],"proposed":[89],"uses":[91],"two":[92],"text":[93],"mining":[94],"methods,":[95],"sentiment":[96],"analysis":[97],"topic":[99],"modeling,":[100],"discover":[102],"topics.":[104],"The":[105,132],"literature":[113],"narratives":[114],"many":[117],"morbidity":[118],"issues":[119],"that":[120],"are":[121],"associated":[122],"with":[123],"DDEO":[124],"linkage":[127],"between":[128],"diabetes.":[131],"offers":[134],"method":[137],"understand":[139],"publics'":[141],"opinions":[142],"DDEO.":[146],"More":[147],"importantly,":[148],"research":[150],"provides":[151],"opportunities":[153],"computational":[155],"social":[156],"scientists,":[157],"medical":[158],"experts":[159],"professionals":[163],"collectively":[165],"address":[166],"DDEO-related":[167],"issues.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}