{"id":"https://openalex.org/W2049211729","doi":"https://doi.org/10.1109/smc.2014.6974028","title":"Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports","display_name":"Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2049211729","doi":"https://doi.org/10.1109/smc.2014.6974028","mag":"2049211729"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6974028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009270280","display_name":"Patrick Uhr","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]},{"id":"https://openalex.org/I4210155382","display_name":"Knowledge Based Systems (United States)","ror":"https://ror.org/04gtf4q04","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155382"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Patrick Uhr","raw_affiliation_strings":["University of Siegen Institute of Knowledge Based Systems, Germany","University of Siegen, Institute of Knowledge Based Systems, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I4210155382"]},{"raw_affiliation_string":"University of Siegen, Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059967490","display_name":"Johannes Zenkert","orcid":"https://orcid.org/0000-0002-2941-7059"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]},{"id":"https://openalex.org/I4210155382","display_name":"Knowledge Based Systems (United States)","ror":"https://ror.org/04gtf4q04","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155382"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Johannes Zenkert","raw_affiliation_strings":["University of Siegen Institute of Knowledge Based Systems, Germany","University of Siegen, Institute of Knowledge Based Systems, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I4210155382"]},{"raw_affiliation_string":"University of Siegen, Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037843564","display_name":"Madjid Fathi","orcid":"https://orcid.org/0000-0002-7602-9593"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]},{"id":"https://openalex.org/I4210155382","display_name":"Knowledge Based Systems (United States)","ror":"https://ror.org/04gtf4q04","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155382"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Madjid Fathi","raw_affiliation_strings":["University of Siegen Institute of Knowledge Based Systems, Germany","University of Siegen, Institute of Knowledge Based Systems, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I4210155382"]},{"raw_affiliation_string":"University of Siegen, Institute of Knowledge Based Systems, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6203,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.67408268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"912","last_page":"917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6755447387695312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6462578773498535},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5842310786247253},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.5728368759155273},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5527304410934448},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5363852381706238},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.46032774448394775},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.419971764087677},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37413373589515686},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3664225935935974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35842257738113403},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.23075857758522034},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18437063694000244},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12927737832069397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06807228922843933}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6755447387695312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462578773498535},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5842310786247253},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.5728368759155273},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5527304410934448},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5363852381706238},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.46032774448394775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.419971764087677},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37413373589515686},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3664225935935974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35842257738113403},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.23075857758522034},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18437063694000244},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12927737832069397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06807228922843933},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2014.6974028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":24,"referenced_works":["https://openalex.org/W1514274094","https://openalex.org/W2047756776","https://openalex.org/W2077365830","https://openalex.org/W2090637028","https://openalex.org/W2108646579","https://openalex.org/W2133341045","https://openalex.org/W2149167588","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2171468534","https://openalex.org/W2606543275","https://openalex.org/W2626338623","https://openalex.org/W2949998441","https://openalex.org/W2994175931","https://openalex.org/W3121701788","https://openalex.org/W3121900378","https://openalex.org/W3122745293","https://openalex.org/W3146306708","https://openalex.org/W4211186029","https://openalex.org/W4213009331","https://openalex.org/W4250860020","https://openalex.org/W6682381408","https://openalex.org/W6764146914","https://openalex.org/W6771002111"],"related_works":["https://openalex.org/W3134493632","https://openalex.org/W1602080981","https://openalex.org/W4242208525","https://openalex.org/W2544661358","https://openalex.org/W2543533418","https://openalex.org/W4240249180","https://openalex.org/W1972752099","https://openalex.org/W4245659985","https://openalex.org/W842589350","https://openalex.org/W2645942849"],"abstract_inverted_index":{"As":[0],"financial":[1,55],"markets":[2,56],"getting":[3],"faster":[4],"and":[5,31,40,61,85],"more":[6],"complex,":[7],"it":[8],"is":[9,21],"difficult":[10],"for":[11,51],"market":[12,67],"participants":[13],"to":[14,27,38,72],"manage":[15],"the":[16,33],"information":[17],"overload.":[18],"Sentiment":[19],"analysis":[20,36,53],"a":[22,48],"useful":[23],"text":[24],"mining":[25],"method":[26,50],"process":[28],"textual":[29],"content":[30],"filter":[32],"results":[34,82],"with":[35],"methods":[37],"relevant":[39],"meaningful":[41],"information.":[42],"The":[43,81],"paper":[44],"in":[45,54,87],"hand":[46],"introduces":[47],"new":[49],"sentiment":[52],"which":[57],"combines":[58],"word":[59],"associations":[60],"lexical":[62],"resources.":[63],"Based":[64],"on":[65,78],"stock":[66],"news":[68],"from":[69],"January":[70],"2000":[71],"February":[73],"2014":[74],"we":[75],"analyzed":[76],"documents":[77],"different":[79],"levels.":[80],"are":[83],"presented":[84],"evaluated":[86],"this":[88],"paper.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}