{"id":"https://openalex.org/W1972626837","doi":"https://doi.org/10.1109/bigdata.2014.7004305","title":"Analyzing the language of food on social media","display_name":"Analyzing the language of food on social media","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1972626837","doi":"https://doi.org/10.1109/bigdata.2014.7004305","mag":"1972626837"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/1409.2195","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102739620","display_name":"Daniel Fried","orcid":"https://orcid.org/0000-0002-0454-9792"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Fried","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona,Tucson,AZ,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona,Tucson,AZ,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047699502","display_name":"Mihai Surdeanu","orcid":"https://orcid.org/0000-0001-6956-8030"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihai Surdeanu","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona,Tucson,AZ,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona,Tucson,AZ,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003147292","display_name":"Stephen Kobourov","orcid":"https://orcid.org/0000-0002-0477-2724"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Kobourov","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona,Tucson,AZ,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona,Tucson,AZ,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007110546","display_name":"Melanie Hingle","orcid":"https://orcid.org/0000-0002-6696-5601"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melanie Hingle","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona,Tucson,AZ,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona,Tucson,AZ,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023662337","display_name":"Dane Bell","orcid":"https://orcid.org/0000-0002-7462-0208"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dane Bell","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona,Tucson,AZ,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona,Tucson,AZ,USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102739620"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":11.4569,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98467757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"778","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9559999704360962,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9223999977111816,"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":0.8317177891731262},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.717829704284668},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5784274935722351},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.5180740356445312},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4728023409843445},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4630333185195923},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43482640385627747},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4316922724246979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640868663787842},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35269391536712646},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34445810317993164},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27620089054107666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317177891731262},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.717829704284668},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5784274935722351},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.5180740356445312},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4728023409843445},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4630333185195923},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43482640385627747},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4316922724246979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640868663787842},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35269391536712646},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34445810317993164},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27620089054107666},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata.2014.7004305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1409.2195","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1409.2195","pdf_url":"https://arxiv.org/pdf/1409.2195","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.8674","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.8674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.surdeanu.info/mihai/papers/bigdata2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.741.3371","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.741.3371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1409.2195.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1409.2195","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1409.2195","pdf_url":"https://arxiv.org/pdf/1409.2195","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":0.5299999713897705,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W6274171","https://openalex.org/W9292421","https://openalex.org/W99538960","https://openalex.org/W201361503","https://openalex.org/W1532325895","https://openalex.org/W1578687340","https://openalex.org/W1581850394","https://openalex.org/W1880262756","https://openalex.org/W1972626837","https://openalex.org/W1979839410","https://openalex.org/W1993103056","https://openalex.org/W2008803468","https://openalex.org/W2009055572","https://openalex.org/W2017729405","https://openalex.org/W2018224396","https://openalex.org/W2062088920","https://openalex.org/W2065388575","https://openalex.org/W2073443734","https://openalex.org/W2108073218","https://openalex.org/W2120390634","https://openalex.org/W2141161236","https://openalex.org/W2142889507","https://openalex.org/W2148325172","https://openalex.org/W2148603752","https://openalex.org/W2167102709","https://openalex.org/W2251939518","https://openalex.org/W2591619550","https://openalex.org/W3098567718","https://openalex.org/W4213009331","https://openalex.org/W4237791300","https://openalex.org/W4285719527","https://openalex.org/W6600249337","https://openalex.org/W6600376888","https://openalex.org/W6608276657","https://openalex.org/W6684102810","https://openalex.org/W6691459498","https://openalex.org/W6734011580"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"We":[0,13,76],"investigate":[1],"the":[2,6,59,91,94,117,138],"predictive":[3,83],"power":[4,84],"behind":[5],"language":[7,70,95,139],"of":[8,17,49,96,116,140],"food":[9],"on":[10],"social":[11],"media.":[12],"collect":[14],"a":[15],"corpus":[16],"over":[18],"three":[19],"million":[20],"food-related":[21],"posts":[22],"from":[23,36],"Twitter":[24],"and":[25,45,100,106,114,125],"demonstrate":[26],"that":[27],"many":[28],"latent":[29],"population":[30],"characteristics":[31],"can":[32],"be":[33],"directly":[34],"predicted":[35],"this":[37],"data:":[38],"overweight":[39],"rate,":[40,42],"diabetes":[41],"political":[43],"leaning,":[44],"home":[46],"geographical":[47],"location":[48],"authors.":[50],"For":[51],"all":[52],"tasks,":[53],"our":[54],"language-based":[55],"models":[56],"significantly":[57],"outperform":[58],"majority-class":[60],"baselines.":[61],"Performance":[62],"is":[63],"further":[64],"improved":[65],"with":[66],"more":[67,132],"complex":[68],"natural":[69],"processing,":[71],"such":[72,121],"as":[73,122],"topic":[74],"modeling.":[75],"analyze":[77],"which":[78],"textual":[79],"features":[80],"have":[81],"greatest":[82],"for":[85,111],"these":[86],"datasets,":[87],"providing":[88],"insight":[89],"into":[90],"connections":[92],"between":[93],"food,":[97],"geographic":[98],"locale,":[99],"community":[101],"characteristics.":[102],"Lastly,":[103],"we":[104],"design":[105],"implement":[107],"an":[108],"online":[109],"system":[110],"real-time":[112],"query":[113],"visualization":[115],"dataset.":[118],"Visualization":[119],"tools,":[120],"geo-referenced":[123],"heatmaps":[124],"temporal":[126],"histograms,":[127],"allow":[128],"us":[129],"to":[130],"discover":[131],"complex,":[133],"global":[134],"patterns":[135],"mirrored":[136],"in":[137],"food.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}