{"id":"https://openalex.org/W4400947803","doi":"https://doi.org/10.1145/3672919.3673018","title":"Internet Financial Public Opinion Monitoring Based on Word2vec-BI-LSTM","display_name":"Internet Financial Public Opinion Monitoring Based on Word2vec-BI-LSTM","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400947803","doi":"https://doi.org/10.1145/3672919.3673018"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3673018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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/A5111824579","display_name":"Yu Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Chao","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, China"],"raw_orcid":"https://orcid.org/0009-0008-7145-6642","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104365079","display_name":"Wang Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Chao","raw_affiliation_strings":["School of Finance, Nanjing Agricultural University, China"],"raw_orcid":"https://orcid.org/0009-0000-3485-5013","affiliations":[{"raw_affiliation_string":"School of Finance, Nanjing Agricultural University, China","institution_ids":["https://openalex.org/I119454577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111824579"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09182308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9926000237464905,"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":0.9926000237464905,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9886000156402588,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/word2vec","display_name":"Word2vec","score":0.8425582647323608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5674935579299927},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5260885953903198},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.47449493408203125},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3538537323474884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29331889748573303},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.287996381521225},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10685223340988159}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8425582647323608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5674935579299927},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5260885953903198},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.47449493408203125},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3538537323474884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29331889748573303},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.287996381521225},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10685223340988159},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3673018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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":30,"referenced_works":["https://openalex.org/W1984430235","https://openalex.org/W2044937105","https://openalex.org/W2068451972","https://openalex.org/W2766671363","https://openalex.org/W2768476704","https://openalex.org/W2781528640","https://openalex.org/W2785939461","https://openalex.org/W2790680202","https://openalex.org/W2889265674","https://openalex.org/W2916909342","https://openalex.org/W2951883999","https://openalex.org/W2997893625","https://openalex.org/W3112391426","https://openalex.org/W3121163724","https://openalex.org/W3122926939","https://openalex.org/W3123756285","https://openalex.org/W3125495526","https://openalex.org/W3155398915","https://openalex.org/W3156950864","https://openalex.org/W3173485134","https://openalex.org/W3177506900","https://openalex.org/W3205498498","https://openalex.org/W3207709557","https://openalex.org/W3217443903","https://openalex.org/W4200463617","https://openalex.org/W4288517722","https://openalex.org/W4309194320","https://openalex.org/W4321501311","https://openalex.org/W4380187689","https://openalex.org/W4386509192"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W1968129419"],"abstract_inverted_index":{"With":[0],"the":[1,21,53,62,70,80,89,101,111,118,150],"development":[2],"of":[3,56,73,103,113],"internet":[4,90,104],"finance,":[5],"many":[6],"internets":[7],"financial":[8,22,36,58,75,130,151,154],"public":[9,37,59,76,92,106,131],"opinion":[10,38,60,77,93,107,132],"events":[11],"have":[12],"emerged,":[13],"which":[14,41],"has":[15,142],"become":[16],"an":[17,34],"emerging":[18],"problem":[19],"that":[20,88],"industry":[23,152],"and":[24,47,68,122,146,153],"regulators":[25],"are":[26],"generally":[27],"concerned":[28],"about.":[29],"Therefore,":[30],"this":[31,98,140],"paper":[32,99,141],"proposes":[33],"Internet":[35,57,74,129],"monitoring":[39,94,108,133],"model":[40,64,95,119],"combines":[42],"natural":[43],"language":[44],"processing":[45],"technology":[46],"machine":[48],"learning":[49],"method.":[50],"It":[51],"classifies":[52],"text":[54,114],"emotion":[55],"through":[61],"BI-LSTM":[63],"embedded":[65],"in":[66,97,139],"Word2vec,":[67],"detects":[69],"abnormal":[71],"points":[72],"based":[78],"on":[79],"isolated":[81],"forest":[82],"model.":[83],"The":[84,137],"empirical":[85],"results":[86],"show":[87],"finance":[91,105],"proposed":[96],"improves":[100],"accuracy":[102],"by":[109],"improving":[110],"degree":[112],"semantic":[115],"recognition.":[116],"Moreover,":[117],"is":[120],"universal":[121],"can":[123],"be":[124],"extended":[125],"to":[126,128],"apply":[127],"involving":[134],"any":[135],"subject.":[136],"research":[138],"important":[143],"reference":[144],"value":[145],"practical":[147],"significance":[148],"for":[149],"regulators.":[155]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}