{"id":"https://openalex.org/W4386492916","doi":"https://doi.org/10.1109/iccsce58721.2023.10237097","title":"A Comparison of Deep Learning for Software Features Extraction in Forensic Online News","display_name":"A Comparison of Deep Learning for Software Features Extraction in Forensic Online News","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386492916","doi":"https://doi.org/10.1109/iccsce58721.2023.10237097"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce58721.2023.10237097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce58721.2023.10237097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5025373602","display_name":"Fredrikus Suarezsaga","orcid":"https://orcid.org/0000-0002-3263-840X"},"institutions":[{"id":"https://openalex.org/I4210095226","display_name":"Universitas Widya Dharma Klaten","ror":"https://ror.org/00pqc4v87","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210095226"]},{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Fredrikus Suarezsaga","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","Universitas Widya Dharma, Pontianak, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Universitas Widya Dharma, Pontianak, Indonesia","institution_ids":["https://openalex.org/I4210095226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008798505","display_name":"Daniel Siahaan","orcid":"https://orcid.org/0000-0001-6560-2975"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Daniel Siahaan","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042999837","display_name":"Anny Yuniarti","orcid":"https://orcid.org/0000-0002-3234-4591"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Anny Yuniarti","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025373602"],"corresponding_institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210095226"],"apc_list":null,"apc_paid":null,"fwci":1.3745,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85389335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7688013315200806},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.762169361114502},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6972075700759888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927213668823242},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6223394274711609},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5997378826141357},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5668871998786926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5196306109428406},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4834645390510559},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4662104547023773},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4147738218307495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36101818084716797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35806387662887573},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3526867628097534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06368991732597351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688013315200806},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.762169361114502},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6972075700759888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927213668823242},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6223394274711609},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5997378826141357},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5668871998786926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5196306109428406},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4834645390510559},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4662104547023773},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4147738218307495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36101818084716797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35806387662887573},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3526867628097534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06368991732597351},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce58721.2023.10237097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce58721.2023.10237097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2143612262","https://openalex.org/W2481902992","https://openalex.org/W2577221193","https://openalex.org/W2759996229","https://openalex.org/W2772515592","https://openalex.org/W2788314565","https://openalex.org/W2800819102","https://openalex.org/W2892137778","https://openalex.org/W2901643192","https://openalex.org/W2947903144","https://openalex.org/W2953521532","https://openalex.org/W2957763665","https://openalex.org/W2963625095","https://openalex.org/W2979641802","https://openalex.org/W2993436875","https://openalex.org/W3004245558","https://openalex.org/W3006156918","https://openalex.org/W3013862731","https://openalex.org/W3039449417","https://openalex.org/W3080359515","https://openalex.org/W3080910531","https://openalex.org/W3104382433","https://openalex.org/W3136627239","https://openalex.org/W3147805483","https://openalex.org/W3182965314","https://openalex.org/W3212007445","https://openalex.org/W3213213154","https://openalex.org/W4226078559","https://openalex.org/W4233658777","https://openalex.org/W4301184660","https://openalex.org/W6636510571","https://openalex.org/W6792738676"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W3203949288","https://openalex.org/W4382201653","https://openalex.org/W3175524270","https://openalex.org/W2998070955"],"abstract_inverted_index":{"Software":[0,9],"features":[1,17],"of":[2,23,132,155,159,163,168],"forensics":[3],"are":[4,65],"functional":[5],"components":[6],"in":[7,18,20,136,148],"software.":[8],"feature":[10,43,58],"extraction":[11],"is":[12,32,85],"performed":[13],"to":[14,34,55],"detect":[15],"software":[16,42,57],"documents":[19],"the":[21,93,116,140,149],"form":[22],"online":[24,90],"news":[25,91,97],"with":[26,92,152],"a":[27,36,48,153,157],"forensic":[28,94],"category.":[29,95],"This":[30,45],"study":[31,46],"conducted":[33],"find":[35],"suitable":[37],"deep":[38,49,61,109],"learning":[39,50,62,71,110],"model":[40,119],"for":[41],"extraction.":[44,59],"uses":[47,73],"approach":[51],"and":[52,68,81,105,120,142,165],"CRF":[53],"layers":[54],"perform":[56],"The":[60,70,83,96,126],"methods":[63,111],"used":[64],"BiLSTM-CRF,":[66],"BiGRU-CRF,":[67],"LSTMCRF.":[69],"process":[72],"Word":[74],"Embedding":[75],"models":[76,146],"such":[77],"as":[78],"Glove,":[79],"Word2Vec,":[80],"Fasttext.":[82],"dataset":[84],"collected":[86],"through":[87],"scraping":[88],"from":[89],"was":[98],"tokenized":[99],"by":[100],"word":[101,117,124,144],"level":[102],"into":[103],"datasets":[104],"annotated.":[106],"Tests":[107],"compare":[108],"that":[112,122],"do":[113],"not":[114],"use":[115,123],"embedding":[118,145],"those":[121],"embedding.":[125],"experimental":[127],"results":[128,147],"show":[129],"an":[130,161,166],"increase":[131],"2%":[133],"-":[134],"7%":[135],"performance":[137],"metrics.":[138],"Combining":[139],"Fasttext":[141],"BiLSTM-CRF":[143],"best":[150],"performance,":[151],"precision":[154],"94.03%,":[156],"recall":[158],"95.60%,":[160],"F1-measure":[162],"93.66%,":[164],"accuracy":[167],"98.99%.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
