{"id":"https://openalex.org/W3087064944","doi":null,"title":"Age-Suitability Prediction for Literature Using Deep Neural Networks","display_name":"Age-Suitability Prediction for Literature Using Deep Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3087064944","mag":"3087064944"},"language":"en","primary_location":{"id":"pmh:oai:scholarsarchive.byu.edu:etd-9665","doi":null,"is_oa":true,"landing_page_url":"https://scholarsarchive.byu.edu/etd/8665","pdf_url":"https://scholarsarchive.byu.edu/etd/8665","source":{"id":"https://openalex.org/S4377196308","display_name":"ScholarsArchive  (Brigham Young University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I100005738","host_organization_name":"Brigham Young University","host_organization_lineage":["https://openalex.org/I100005738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarsarchive.byu.edu/etd/8665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047713557","display_name":"Eric Brewer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eric Brewer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5047713557"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.7271000146865845,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.7271000146865845,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.22360000014305115,"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/T10028","display_name":"Topic Modeling","score":0.008200000040233135,"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/literary-content","display_name":"literary content","score":0.5870000123977661},{"id":"https://openalex.org/keywords/swearing","display_name":"swearing","score":0.7509999871253967},{"id":"https://openalex.org/keywords/nudity","display_name":"nudity","score":0.9819999933242798}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6227418780326843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327280759811401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48490744829177856}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:scholarsarchive.byu.edu:etd-9665","doi":null,"is_oa":true,"landing_page_url":"https://scholarsarchive.byu.edu/etd/8665","pdf_url":"https://scholarsarchive.byu.edu/etd/8665","source":{"id":"https://openalex.org/S4377196308","display_name":"ScholarsArchive  (Brigham Young University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I100005738","host_organization_name":"Brigham Young University","host_organization_lineage":["https://openalex.org/I100005738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"text"},{"id":"mag:3087064944","doi":null,"is_oa":false,"landing_page_url":"https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=9665&context=etd","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:scholarsarchive.byu.edu:etd-9665","doi":null,"is_oa":true,"landing_page_url":"https://scholarsarchive.byu.edu/etd/8665","pdf_url":"https://scholarsarchive.byu.edu/etd/8665","source":{"id":"https://openalex.org/S4377196308","display_name":"ScholarsArchive  (Brigham Young University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I100005738","host_organization_name":"Brigham Young University","host_organization_lineage":["https://openalex.org/I100005738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087064944.pdf","grobid_xml":"https://content.openalex.org/works/W3087064944.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W195936129","https://openalex.org/W1485981043","https://openalex.org/W1555564278","https://openalex.org/W1565201084","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W1956559956","https://openalex.org/W1983674091","https://openalex.org/W1994616650","https://openalex.org/W1997855593","https://openalex.org/W2009797711","https://openalex.org/W2040870580","https://openalex.org/W2064675550","https://openalex.org/W2082234455","https://openalex.org/W2102741323","https://openalex.org/W2122111042","https://openalex.org/W2122511210","https://openalex.org/W2130695501","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2250539671","https://openalex.org/W2436219157","https://openalex.org/W2470673105","https://openalex.org/W2493916176","https://openalex.org/W2523246573","https://openalex.org/W2606089314","https://openalex.org/W2626778328","https://openalex.org/W2766736793","https://openalex.org/W2911964244","https://openalex.org/W2949335953","https://openalex.org/W2950635152","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3005720178","https://openalex.org/W3208181008","https://openalex.org/W3027669069","https://openalex.org/W7137835852","https://openalex.org/W4392305413","https://openalex.org/W4312206461","https://openalex.org/W4395471849","https://openalex.org/W2789903033","https://openalex.org/W7127224097","https://openalex.org/W7106039274"],"abstract_inverted_index":{"Digital":[0],"media":[1,12,23,49,65,87],"holds":[2],"a":[3,17,21,30,39,85,104,110,184,190],"strong":[4],"presence":[5],"in":[6,58,245],"society":[7],"today.":[8],"Providers":[9],"of":[10,64,103,140,161,167,178,196,226,255,264],"digital":[11,141],"may":[13],"choose":[14],"to":[15,29,44,79,91,118,154,170,176,236],"obtain":[16],"content":[18,31,40,106,130,157,174,192,254],"rating":[19,32,41,54,107,113,186,193,240],"for":[20,61,115,145,159],"given":[22,86,223],"item":[24,28,50,88],"by":[25,125],"submitting":[26],"that":[27,42,48,128,227,252],"authority.":[33,108],"That":[34],"authority":[35,114,148],"will":[36],"then":[37],"issue":[38,155],"denotes":[43],"which":[45,188],"age":[46,93],"groups":[47],"is":[51,89,131],"appropriate.":[52],"Content":[53,75],"authorities":[55],"serve":[56],"publishers":[57],"many":[59],"countries":[60],"different":[62],"forms":[63,139],"such":[66,146],"as":[67],"television,":[68],"music,":[69],"video":[70],"games,":[71],"and":[72,205,216,218,221,268],"mobile":[73],"applications.":[74],"ratings":[76,158,175],"allow":[77],"consumers":[78],"quickly":[80],"determine":[81],"whether":[82],"or":[83,94],"not":[84,151],"suitable":[90],"their":[92,164],"preference.":[95],"Literature,":[96],"on":[97],"the":[98,126,224,233,262],"other":[99,138],"hand,":[100],"remains":[101],"devoid":[102],"comparable":[105],"If":[109],"new,":[111],"human-driven":[112,239],"literature":[116,162,179,256],"were":[117],"be":[119,123,152,258],"implemented,":[120],"it":[121],"would":[122,150],"impeded":[124],"fact":[127],"literary":[129],"published":[132],"far":[133],"more":[134],"rapidly":[135],"than":[136],"are":[137],"media;":[142],"humans":[143],"working":[144],"an":[147],"simply":[149],"able":[153],"accurate":[156],"items":[160,177],"at":[163],"current":[165],"rate":[166],"production.":[168],"Thus,":[169],"provide":[171],"fast,":[172],"automated":[173],"(i.e.,":[180],"books),":[181],"we":[182],"propose":[183],"computer-driven":[185,230],"system":[187,231,241],"predicts":[189],"book's":[191],"within":[194],"each":[195],"seven":[197],"categories:":[198],"1)":[199],"crude":[200],"humor/language;":[201],"2)":[202],"drug,":[203],"alcohol,":[204],"tobacco":[206],"use;":[207],"3)":[208],"kissing;":[209],"4)":[210],"profanity;":[211],"5)":[212],"nudity;":[213],"6)":[214],"sex":[215],"intimacy;":[217],"7)":[219],"violence":[220],"horror":[222],"text":[225],"book.":[228],"Our":[229,248],"circumvents":[232],"major":[234],"hindrance":[235],"any":[237],"theoretical":[238],"previously":[242],"mentioned--namely":[243],"infeasibility":[244],"time":[246],"spent.":[247],"work":[249],"has":[250],"demonstrated":[251],"mature":[253],"can":[257],"accurately":[259],"predicted":[260],"through":[261],"use":[263],"natural":[265],"language":[266],"processing":[267],"machine":[269],"learning":[270],"techniques.":[271]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-09-25T00:00:00"}