{"id":"https://openalex.org/W2001759806","doi":"https://doi.org/10.1109/fskd.2013.6816338","title":"Mining opinion and sentiment for stock return prediction based on Web-forum messages","display_name":"Mining opinion and sentiment for stock return prediction based on Web-forum messages","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2001759806","doi":"https://doi.org/10.1109/fskd.2013.6816338","mag":"2001759806"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2013.6816338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5102065435","display_name":"Jiangjiao Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiangJiao Duan","raw_affiliation_strings":["School of Economics Fudan University, Shanghai, China","School of Economics, Fudan University, Shanghai, China 200433;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Economics, Fudan University, Shanghai, China 200433;","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080289201","display_name":"Jianping Zeng","orcid":"https://orcid.org/0000-0003-3686-1454"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Zeng","raw_affiliation_strings":["School of Computer Science Fudan University, Shanghai, China","School of Computer Science, Fudan University Shanghai, China 200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University Shanghai, China 200433","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.7053,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85590881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"984","last_page":"988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9810000061988831,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7599916458129883},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6963049173355103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5876704454421997},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.48278701305389404},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.434145450592041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32572034001350403},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3254571259021759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2804327607154846},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1615886688232422},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09271854162216187}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7599916458129883},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6963049173355103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876704454421997},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48278701305389404},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.434145450592041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32572034001350403},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3254571259021759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2804327607154846},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1615886688232422},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09271854162216187},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2013.6816338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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":17,"referenced_works":["https://openalex.org/W1917205115","https://openalex.org/W1978520392","https://openalex.org/W1991529651","https://openalex.org/W2047354067","https://openalex.org/W2048658075","https://openalex.org/W2049051779","https://openalex.org/W2054475601","https://openalex.org/W2134519938","https://openalex.org/W2148810011","https://openalex.org/W2323278515","https://openalex.org/W3122829783","https://openalex.org/W3123389426","https://openalex.org/W3125569693","https://openalex.org/W3126053622","https://openalex.org/W3126079314","https://openalex.org/W4249141133","https://openalex.org/W6639949363"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W3013279174","https://openalex.org/W4317653575","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W2370669686"],"abstract_inverted_index":{"Stock":[0],"return":[1],"prediction":[2],"has":[3],"drawn":[4],"extensive":[5],"attention":[6],"in":[7,29,38,44],"recent":[8],"years.":[9],"All":[10],"kinds":[11],"of":[12,55,82,102,126],"time":[13],"series-based":[14],"methods":[15],"are":[16,46,141],"commonly":[17],"utilized":[18],"to":[19,63,116],"predict":[20],"future":[21],"stock":[22,56,65,83,121,135],"returns":[23,66,122],"based":[24],"on":[25,132],"the":[26,30,53,78,89,118,124,144,148],"statistical":[27],"properties":[28],"series.":[31],"As":[32],"more":[33,35],"and":[34,42,70,80,111,123,128,137,143],"people":[36],"gather":[37],"Web-based":[39],"forums,":[40],"sentiment":[41,71,97,113],"opinion":[43,69,110,127],"forums":[45],"likely":[47],"turned":[48],"into":[49],"new":[50],"indices":[51],"for":[52],"movement":[54],"returns.":[57],"We":[58],"propose":[59],"a":[60],"novel":[61],"method":[62,150],"forecast":[64],"by":[67,92,100],"mining":[68],"from":[72,88],"Web":[73,139],"forum":[74,93,140],"messages.":[75],"Opinion":[76],"about":[77],"drop":[79],"rise":[81],"prices":[84],"is":[85,98,114,151],"firstly":[86],"extracted":[87],"messages":[90],"posted":[91],"users.":[94],"Then":[95],"unhealthy":[96,112],"recognized":[99],"means":[101],"pattern":[103],"matching.":[104],"A":[105],"Bayesian":[106],"model":[107],"that":[108,147],"incorporates":[109],"established":[115],"infer":[117],"relation":[119],"between":[120],"combination":[125],"sentiment.":[129],"Compared":[130],"experiments":[131],"China":[133],"A-share":[134],"market":[136],"Guba":[138],"done,":[142],"results":[145],"show":[146],"proposed":[149],"effective.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
