{"id":"https://openalex.org/W2983809809","doi":"https://doi.org/10.3390/app9214603","title":"How to Extract Meaningful Insights from UGC: A Knowledge-Based Method Applied to Education","display_name":"How to Extract Meaningful Insights from UGC: A Knowledge-Based Method Applied to Education","publication_year":2019,"publication_date":"2019-10-29","ids":{"openalex":"https://openalex.org/W2983809809","doi":"https://doi.org/10.3390/app9214603","mag":"2983809809"},"language":"en","primary_location":{"id":"doi:10.3390/app9214603","doi":"https://doi.org/10.3390/app9214603","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9214603","pdf_url":"https://www.mdpi.com/2076-3417/9/21/4603/pdf?version=1572359055","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/9/21/4603/pdf?version=1572359055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036899043","display_name":"Jos\u00e9 Ram\u00f3n Saura","orcid":"https://orcid.org/0000-0002-9457-7745","observed_orcids":["https://orcid.org/0000-0002-9457-7745","https://orcid.org/0000-0003-2980-6748"]},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Ramon Saura","raw_affiliation_strings":["Department of Business Economics, Faculty of Social Sciences and Law, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9457-7745","affiliations":[{"raw_affiliation_string":"Department of Business Economics, Faculty of Social Sciences and Law, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014945387","display_name":"Ana Reyes-Men\u00e9ndez","orcid":"https://orcid.org/0000-0003-0636-9573","observed_orcids":["https://orcid.org/0000-0003-0636-9573"]},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Ana Reyes-Menendez","raw_affiliation_strings":["Department of Business Economics, Faculty of Social Sciences and Law, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-0636-9573","affiliations":[{"raw_affiliation_string":"Department of Business Economics, Faculty of Social Sciences and Law, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721445","display_name":"Dag Robert Bennett","orcid":"https://orcid.org/0000-0003-1900-6421","observed_orcids":["https://orcid.org/0000-0003-1900-6421"]},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dag R. Bennett","raw_affiliation_strings":["Ehrenberg Centre for Research in Marketing, London South Bank University, 103 Borough Rd., London SE1 0AA, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ehrenberg Centre for Research in Marketing, London South Bank University, 103 Borough Rd., London SE1 0AA, UK","institution_ids":["https://openalex.org/I28257850"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014945387"],"corresponding_institution_ids":["https://openalex.org/I182083151"],"apc_list":{"value":1500,"currency":"CHF","value_usd":1520},"apc_paid":{"value":1500,"currency":"CHF","value_usd":1520},"fwci":2.7355,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92023203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"21","first_page":"4603","last_page":"4603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8101000189781189,"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":0.8101000189781189,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.10499999672174454,"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"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.0786999985575676,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/user-generated-content","display_name":"user-generated content","score":0.9240000247955322},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.718999981880188},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.7699999809265137},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.8980000019073486},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.9990000128746033},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"knowledge extraction","score":0.7179999947547913},{"id":"https://openalex.org/keywords/big-data-in-education","display_name":"big data in education","score":0.7080000042915344},{"id":"https://openalex.org/keywords/social-media-in-education","display_name":"social media in education","score":0.6480000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569867134094238},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6249529123306274},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6127150058746338},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5887824296951294},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5365519523620605},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.45950645208358765},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4504361152648926},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4459531605243683},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4356450140476227},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4244171380996704},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4215806722640991},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.21718555688858032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1738164722919464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15847069025039673},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/app9214603","doi":"https://doi.org/10.3390/app9214603","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9214603","pdf_url":"https://www.mdpi.com/2076-3417/9/21/4603/pdf?version=1572359055","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:openresearch.lsbu.ac.uk:88592","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.3390/app9214603","pdf_url":null,"source":{"id":"https://openalex.org/S4306401135","display_name":"Research Open (London South Bank University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I28257850","host_organization_name":"London South Bank University","host_organization_lineage":["https://openalex.org/I28257850"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:694e1727a7c44ea6aed43c9b0f81c59d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/694e1727a7c44ea6aed43c9b0f81c59d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 9, Iss 21, p 4603 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app9214603","doi":"https://doi.org/10.3390/app9214603","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9214603","pdf_url":"https://www.mdpi.com/2076-3417/9/21/4603/pdf?version=1572359055","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9901999831199646,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983809809.pdf","grobid_xml":"https://content.openalex.org/works/W2983809809.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W121415272","https://openalex.org/W411469361","https://openalex.org/W1518702396","https://openalex.org/W1531414927","https://openalex.org/W1853454069","https://openalex.org/W1880262756","https://openalex.org/W1972613383","https://openalex.org/W1979286447","https://openalex.org/W2006444123","https://openalex.org/W2008209917","https://openalex.org/W2022204871","https://openalex.org/W2031769367","https://openalex.org/W2034059165","https://openalex.org/W2074323550","https://openalex.org/W2076633470","https://openalex.org/W2085893569","https://openalex.org/W2097726431","https://openalex.org/W2098126593","https://openalex.org/W2099352442","https://openalex.org/W2114398548","https://openalex.org/W2114524997","https://openalex.org/W2116454389","https://openalex.org/W2126581182","https://openalex.org/W2129155581","https://openalex.org/W2131681506","https://openalex.org/W2132832208","https://openalex.org/W2137014522","https://openalex.org/W2140845590","https://openalex.org/W2145139979","https://openalex.org/W2150494057","https://openalex.org/W2151373442","https://openalex.org/W2170586871","https://openalex.org/W2256039866","https://openalex.org/W2289887552","https://openalex.org/W2331249327","https://openalex.org/W2510951250","https://openalex.org/W2566143363","https://openalex.org/W2770182351","https://openalex.org/W2784467145","https://openalex.org/W2789308566","https://openalex.org/W2885897164","https://openalex.org/W2888055603","https://openalex.org/W2899643066","https://openalex.org/W2900641211","https://openalex.org/W2902534974","https://openalex.org/W2904222890","https://openalex.org/W2908313251","https://openalex.org/W2911955591","https://openalex.org/W2912141246","https://openalex.org/W2915650894","https://openalex.org/W2916132704","https://openalex.org/W2921211403","https://openalex.org/W2921907837","https://openalex.org/W2924953422","https://openalex.org/W2925934596","https://openalex.org/W2936967793","https://openalex.org/W2946191173","https://openalex.org/W2946677032","https://openalex.org/W2948013797","https://openalex.org/W2953307007","https://openalex.org/W2969945475","https://openalex.org/W2974285349","https://openalex.org/W2975220389","https://openalex.org/W2979162426","https://openalex.org/W3125774461","https://openalex.org/W3204549394","https://openalex.org/W4205184193","https://openalex.org/W4253578872","https://openalex.org/W4300572313","https://openalex.org/W6990297103"],"related_works":["https://openalex.org/W2783515544","https://openalex.org/W4388623621","https://openalex.org/W2400221649","https://openalex.org/W6989542469","https://openalex.org/W2401350435","https://openalex.org/W3013739895","https://openalex.org/W7039349788","https://openalex.org/W4284687302","https://openalex.org/W4381941163","https://openalex.org/W3005812545"],"abstract_inverted_index":{"New":[0],"analysis":[1,165],"and":[2,21,53,76,88,98,113,125,184,209],"visualization":[3,187],"techniques":[4,37,183],"are":[5,100,160],"required":[6],"to":[7,31,156,163,198,206],"glean":[8],"useful":[9,120],"insights":[10,196],"from":[11,127,141],"the":[12,40,48,57,136,142,212],"vast":[13],"amounts":[14],"of":[15,27,42,50,95,105,129,180],"data":[16,22,44,181,186],"generated":[17,107],"by":[18,69],"new":[19],"technologies":[20],"sharing":[23],"platforms.":[24,115],"The":[25,146,172,192],"aim":[26],"this":[28,62,134],"article":[29,117],"is":[30,56,66],"lay":[32],"a":[33,102,185,216],"foundation":[34],"for":[35,92,189],"such":[36],"so":[38],"that":[39,202],"age":[41,49],"big":[43],"may":[45],"also":[46,77],"be":[47,123],"knowledge,":[51],"visualization,":[52],"understanding.":[54],"Education":[55],"keystone":[58],"area":[59],"used":[60],"in":[61,133,139,170,211,215],"study":[63],"because":[64,78],"it":[65,79],"deeply":[67],"affected":[68],"digital":[70,83,114],"platforms":[71],"as":[72],"an":[73,178],"educational":[74,200],"medium":[75],"deals":[80],"mostly":[81],"with":[82],"natives":[84],"who":[85],"use":[86,205],"information":[87],"communication":[89],"technology":[90],"(ICT)":[91],"all":[93],"manner":[94],"purposes.":[96],"Students":[97],"teachers":[99],"therefore":[101],"rich":[103],"source":[104],"user":[106],"content":[108],"(UGC)":[109],"on":[110,175],"social":[111,143],"networks":[112],"This":[116],"shows":[118],"how":[119],"knowledge":[121],"can":[122,204],"extracted":[124],"visualized":[126],"samples":[128],"readily":[130],"available":[131],"UGC,":[132],"case":[135],"text":[137],"published":[138],"tweets":[140],"network":[144],"Twitter.":[145],"first":[147],"stage":[148],"employs":[149],"topic-modeling":[150],"using":[151,167],"LDA":[152],"(latent":[153],"dirichlet":[154],"allocation)":[155],"identify":[157],"topics,":[158],"which":[159],"then":[161],"subjected":[162],"sentiment":[164],"(SA)":[166],"machine-learning":[168],"(developed":[169],"Python).":[171],"results":[173,193],"take":[174],"meaning":[176],"through":[177],"application":[179],"mining":[182],"algorithm":[188],"complex":[190],"networks.":[191],"obtained":[194],"show":[195],"related":[197],"innovative":[199],"trends":[201],"practitioners":[203],"improve":[207],"strategies":[208],"interventions":[210],"education":[213],"sector":[214],"short-term":[217],"future.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2019-11-22T00:00:00"}
