{"id":"https://openalex.org/W3215828920","doi":"https://doi.org/10.1109/isi53945.2021.9624687","title":"Mining User\u2019s Opinion Towards the Rising and Falling Trends of the Stock Market: A Hybrid Model","display_name":"Mining User\u2019s Opinion Towards the Rising and Falling Trends of the Stock Market: A Hybrid Model","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3215828920","doi":"https://doi.org/10.1109/isi53945.2021.9624687","mag":"3215828920"},"language":"en","primary_location":{"id":"doi:10.1109/isi53945.2021.9624687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi53945.2021.9624687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","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/A5077478562","display_name":"Haoda Qian","orcid":"https://orcid.org/0009-0003-4299-8294"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoda Qian","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430201","display_name":"Liping Chen","orcid":"https://orcid.org/0009-0003-6453-5645"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076026168","display_name":"Qiwen Zha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiwen Zha","raw_affiliation_strings":["China Academy of Industrial Internet"],"affiliations":[{"raw_affiliation_string":"China Academy of Industrial Internet","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077478562"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5692007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"abs 1908 10063","issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7495017647743225},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.5759178400039673},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5482878088951111},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5324535965919495},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.49504175782203674},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49276402592658997},{"id":"https://openalex.org/keywords/falling","display_name":"Falling (accident)","score":0.4823960065841675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4759266674518585},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42556488513946533},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.345700204372406},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3259141445159912},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1348426342010498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495017647743225},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.5759178400039673},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5482878088951111},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5324535965919495},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.49504175782203674},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49276402592658997},{"id":"https://openalex.org/C2779079380","wikidata":"https://www.wikidata.org/wiki/Q333495","display_name":"Falling (accident)","level":2,"score":0.4823960065841675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4759266674518585},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42556488513946533},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.345700204372406},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3259141445159912},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1348426342010498},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi53945.2021.9624687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi53945.2021.9624687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1546425147","https://openalex.org/W2625464253","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W3032591931","https://openalex.org/W3104186312","https://openalex.org/W3105111366","https://openalex.org/W3125952890","https://openalex.org/W4300485781","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6767182473","https://openalex.org/W6778549327"],"related_works":["https://openalex.org/W2350593162","https://openalex.org/W2390350206","https://openalex.org/W2921208823","https://openalex.org/W1969477129","https://openalex.org/W2131808775","https://openalex.org/W2353483812","https://openalex.org/W2360756181","https://openalex.org/W2374093222","https://openalex.org/W2359533638","https://openalex.org/W3154008094"],"abstract_inverted_index":{"Mining":[0],"users\u2019":[1],"opinions":[2],"towards":[3],"the":[4,10,14,18,27,74,98,101],"rising":[5],"and":[6,20,33,71,77],"falling":[7],"trends":[8],"of":[9,30,100],"stocks":[11],"may":[12],"help":[13],"management":[15],"department":[16],"estimate":[17],"risk":[19],"make":[21],"timely":[22],"decision.":[23],"Existing":[24],"methods":[25],"ignore":[26],"effective":[28],"fusion":[29],"domain":[31],"information":[32],"pre-trained":[34],"language":[35,51,57,86],"models,":[36],"hindering":[37],"mining":[38],"implicit":[39],"semantic":[40],"information.":[41],"This":[42],"paper":[43],"proposes":[44],"a":[45,55],"hybrid":[46],"method":[47],"that":[48],"adopts":[49],"masked":[50,75],"modeling":[52],"to":[53,83],"obtain":[54],"domain-information-enhanced":[56],"model.":[58,103],"Firstly,":[59],"it":[60],"generates":[61],"an":[62],"attention-mechanism-oriented":[63],"masking":[64],"based":[65],"on":[66,90],"words\u2019":[67],"importance,":[68],"word-level":[69],"polarity":[70],"terminology.":[72],"Then,":[73],"words":[76],"their":[78],"corresponding":[79],"knowledge":[80],"are":[81],"predicted":[82],"acquire":[84],"domain-aware":[85],"representation.":[87],"Experimental":[88],"results":[89],"two":[91],"public":[92],"financial":[93],"sentiment":[94],"analysis":[95],"datasets":[96],"show":[97],"efficacy":[99],"proposed":[102]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}