{"id":"https://openalex.org/W4226245750","doi":"https://doi.org/10.1109/access.2022.3162685","title":"Detection of Anorexic Girls-In Blog Posts Written in Hebrew Using a Combined Heuristic AI and NLP Method","display_name":"Detection of Anorexic Girls-In Blog Posts Written in Hebrew Using a Combined Heuristic AI and NLP Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226245750","doi":"https://doi.org/10.1109/access.2022.3162685"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3162685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3162685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09743447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09743447.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058308382","display_name":"Yaakov HaCohen\u2010Kerner","orcid":"https://orcid.org/0000-0002-4834-1272"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yaakov Hacohen-Kerner","raw_affiliation_strings":["Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076482197","display_name":"Natan Manor","orcid":"https://orcid.org/0009-0001-5728-3473"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Natan Manor","raw_affiliation_strings":["Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088267119","display_name":"Michael Goldmeier","orcid":"https://orcid.org/0009-0008-2285-1259"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michael Goldmeier","raw_affiliation_strings":["Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043526608","display_name":"Eytan Bachar","orcid":"https://orcid.org/0000-0001-9725-4549"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eytan Bachar","raw_affiliation_strings":["Department of Psychology, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058308382"],"corresponding_institution_ids":["https://openalex.org/I192238737"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5519,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82421904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"34800","last_page":"34814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.998199999332428,"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":0.998199999332428,"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":0.9980999827384949,"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":0.9944000244140625,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348994970321655},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5984435081481934},{"id":"https://openalex.org/keywords/hebrew","display_name":"Hebrew","score":0.5850085616111755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598317980766296},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5552995800971985},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.501976728439331},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44323939085006714},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.42859700322151184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4258955121040344},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3844672441482544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.275931179523468},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.18164384365081787},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11376580595970154}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348994970321655},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5984435081481934},{"id":"https://openalex.org/C91304198","wikidata":"https://www.wikidata.org/wiki/Q9288","display_name":"Hebrew","level":2,"score":0.5850085616111755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598317980766296},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5552995800971985},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.501976728439331},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44323939085006714},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.42859700322151184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4258955121040344},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3844672441482544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.275931179523468},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.18164384365081787},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11376580595970154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3162685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3162685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09743447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ede3693338744348f3b13d3ab157c47","is_oa":true,"landing_page_url":"https://doaj.org/article/1ede3693338744348f3b13d3ab157c47","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 34800-34814 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3162685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3162685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09743447.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226245750.pdf","grobid_xml":"https://content.openalex.org/works/W4226245750.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1503900651","https://openalex.org/W1508663777","https://openalex.org/W1537829113","https://openalex.org/W1550118871","https://openalex.org/W1562615108","https://openalex.org/W1565201084","https://openalex.org/W1604476085","https://openalex.org/W1670064057","https://openalex.org/W1769790294","https://openalex.org/W1780541361","https://openalex.org/W1924770834","https://openalex.org/W1994565209","https://openalex.org/W2036389419","https://openalex.org/W2040397381","https://openalex.org/W2040467972","https://openalex.org/W2073064881","https://openalex.org/W2091085232","https://openalex.org/W2094553285","https://openalex.org/W2106476550","https://openalex.org/W2109946528","https://openalex.org/W2120199131","https://openalex.org/W2140910804","https://openalex.org/W2153635508","https://openalex.org/W2154690800","https://openalex.org/W2169899053","https://openalex.org/W2191898300","https://openalex.org/W2252191003","https://openalex.org/W2273847690","https://openalex.org/W2511501696","https://openalex.org/W2584084362","https://openalex.org/W2590061102","https://openalex.org/W2729451077","https://openalex.org/W2739681832","https://openalex.org/W2741216199","https://openalex.org/W2742310947","https://openalex.org/W2748635631","https://openalex.org/W2763594324","https://openalex.org/W2792593939","https://openalex.org/W2801294320","https://openalex.org/W2885726350","https://openalex.org/W2894531592","https://openalex.org/W2896457183","https://openalex.org/W2897443710","https://openalex.org/W2900021911","https://openalex.org/W2903950532","https://openalex.org/W2904790185","https://openalex.org/W2911964244","https://openalex.org/W2912654919","https://openalex.org/W2915177913","https://openalex.org/W2922168227","https://openalex.org/W2927148761","https://openalex.org/W2953413710","https://openalex.org/W2955864671","https://openalex.org/W2963668037","https://openalex.org/W2970351491","https://openalex.org/W2998535576","https://openalex.org/W3016207173","https://openalex.org/W3021743785","https://openalex.org/W3033940819","https://openalex.org/W3103319922","https://openalex.org/W3108773757","https://openalex.org/W3127069001","https://openalex.org/W3135835076","https://openalex.org/W3154147337","https://openalex.org/W3157024423","https://openalex.org/W3168625207","https://openalex.org/W3197497981","https://openalex.org/W4200182268","https://openalex.org/W4213251304","https://openalex.org/W4231510805","https://openalex.org/W4239510810","https://openalex.org/W4246486395","https://openalex.org/W6606530489","https://openalex.org/W6637158921","https://openalex.org/W6637861734","https://openalex.org/W6639619044","https://openalex.org/W6640212811","https://openalex.org/W6680230698","https://openalex.org/W6695131652","https://openalex.org/W6711939235","https://openalex.org/W6753936961","https://openalex.org/W6754288605","https://openalex.org/W6755207826","https://openalex.org/W6766497318","https://openalex.org/W6766667223","https://openalex.org/W6772107725","https://openalex.org/W6779811783","https://openalex.org/W6790130950","https://openalex.org/W6793818051","https://openalex.org/W6800613338"],"related_works":["https://openalex.org/W1558215493","https://openalex.org/W1976009970","https://openalex.org/W2084800428","https://openalex.org/W2009267686","https://openalex.org/W2068961711","https://openalex.org/W2317694233","https://openalex.org/W2044179353","https://openalex.org/W2336151987","https://openalex.org/W2208262294","https://openalex.org/W4253949560"],"abstract_inverted_index":{"In":[0],"this":[1,52],"study,":[2],"we":[3],"aim":[4],"to":[5,46,142,197],"detect":[6],"in":[7,12],"social":[8],"media":[9],"texts":[10],"written":[11,29,40],"Hebrew":[13],"girls":[14],"who":[15,32,43],"are":[16,33,44],"suspected":[17],"of":[18,51,108,152,161,168,171,193,200,205],"being":[19],"anorexic.":[20],"We":[21,64],"constructed":[22],"a":[23,121,137,146,150,198,203],"dataset":[24,53],"containing":[25],"100":[26,37],"blog":[27,38],"posts":[28,39],"by":[30,41,58,115],"females":[31,42],"probably":[34],"anorexic,":[35],"and":[36,56,76,97,140],"likely":[45],"be":[47],"non-anorexic.":[48],"The":[49],"construction":[50],"was":[54,118],"supervised":[55],"approved":[57],"an":[59,116,162],"international":[60],"expert":[61,117],"on":[62,129],"anorexia.":[63],"tested":[65],"several":[66],"text":[67],"classification":[68],"(TC)":[69],"methods,":[70,82,92,96],"using":[71,202],"various":[72],"feature":[73,94,194,210],"sets":[74],"(content-based":[75],"style-based),":[77],"five":[78],"machine":[79],"learning":[80],"(ML)":[81],"three":[83,89,93],"RNN":[84],"models,":[85,88],"four":[86],"BERT":[87],"basic":[90,123],"preprocessing":[91],"filtering":[95],"parameter":[98],"tuning.":[99],"Several":[100],"insights":[101],"were":[102],"found":[103,119],"as":[104,120],"follows.":[105],"A":[106,125],"set":[107],"50-word":[109],"n-grams":[110],"(mostly":[111],"word":[112],"unigrams)":[113],"given":[114],"good":[122],"detector.":[124],"heuristic":[126],"process":[127,164],"based":[128],"the":[130,191],"random":[131],"forest":[132],"ML":[133],"method":[134],"has":[135],"overcome":[136],"combinatorial":[138],"explosion":[139],"led":[141],"significant":[143],"improvement":[144],"over":[145],"baseline":[147],"result":[148,199],"at":[149],"level":[151],"<inline-formula":[153,172,180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[154,173,181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[155,174,182],"<tex-math":[156,175,183],"notation=\"LaTeX\">$\\text{P}\\,{=}$":[157],"</tex-math></inline-formula>":[158,177,187],".01.":[159],"Application":[160],"iterative":[163],"that":[165],"tests":[166],"combinations":[167],"\u201ck":[169],"out":[170],"notation=\"LaTeX\">$\\text{n}'$":[176],"\u201d":[178],"where":[179],"notation=\"LaTeX\">$\\text{n}'\\,{":[184],"&lt;":[185],"}$":[186],"n":[188],"(n":[189],"is":[190],"number":[192],"sets)":[195],"lead":[196],"90.63%,":[201],"combination":[204],"300":[206],"features":[207],"from":[208],"ten":[209],"sets.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
