{"id":"https://openalex.org/W3161521379","doi":"https://doi.org/10.1007/s11042-021-11029-1","title":"Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting","display_name":"Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting","publication_year":2021,"publication_date":"2021-05-12","ids":{"openalex":"https://openalex.org/W3161521379","doi":"https://doi.org/10.1007/s11042-021-11029-1","mag":"3161521379"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-021-11029-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-021-11029-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5039629621","display_name":"Raghavendra Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I153954893","display_name":"Jaypee University of Information Technology","ror":"https://ror.org/00hshrf16","country_code":"IN","type":"education","lineage":["https://openalex.org/I153954893"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Raghavendra Kumar","raw_affiliation_strings":["Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India","Department of Information Technology, KIET Group of Institutions, Delhi NCR Ghaziabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India","institution_ids":["https://openalex.org/I153954893"]},{"raw_affiliation_string":"Department of Information Technology, KIET Group of Institutions, Delhi NCR Ghaziabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021840195","display_name":"Pardeep Kumar","orcid":"https://orcid.org/0000-0001-5303-7219"},"institutions":[{"id":"https://openalex.org/I153954893","display_name":"Jaypee University of Information Technology","ror":"https://ror.org/00hshrf16","country_code":"IN","type":"education","lineage":["https://openalex.org/I153954893"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pardeep Kumar","raw_affiliation_strings":["Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India","institution_ids":["https://openalex.org/I153954893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081663515","display_name":"Yugal Kumar","orcid":"https://orcid.org/0000-0003-3451-4897"},"institutions":[{"id":"https://openalex.org/I153954893","display_name":"Jaypee University of Information Technology","ror":"https://ror.org/00hshrf16","country_code":"IN","type":"education","lineage":["https://openalex.org/I153954893"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yugal Kumar","raw_affiliation_strings":["Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, India","institution_ids":["https://openalex.org/I153954893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039629621"],"corresponding_institution_ids":["https://openalex.org/I153954893"],"apc_list":null,"apc_paid":null,"fwci":3.5875,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92709028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"81","issue":"24","first_page":"34595","last_page":"34614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9894000291824341,"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":0.8553646802902222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.589606761932373},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5617729425430298},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5613916516304016},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5419233441352844},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5265136957168579},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.47859808802604675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4709917902946472},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4708998501300812},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.4426642656326294},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43221670389175415},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.41034823656082153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3199114203453064},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2194853127002716},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12179005146026611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553646802902222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.589606761932373},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5617729425430298},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5613916516304016},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5419233441352844},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5265136957168579},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.47859808802604675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4709917902946472},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4708998501300812},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.4426642656326294},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43221670389175415},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.41034823656082153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3199114203453064},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2194853127002716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12179005146026611},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1007/s11042-021-11029-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-021-11029-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1750239605","https://openalex.org/W1815264562","https://openalex.org/W1918540025","https://openalex.org/W1969852690","https://openalex.org/W1980850818","https://openalex.org/W2037449179","https://openalex.org/W2056646884","https://openalex.org/W2059852492","https://openalex.org/W2064675550","https://openalex.org/W2077655735","https://openalex.org/W2082078263","https://openalex.org/W2086694651","https://openalex.org/W2106595237","https://openalex.org/W2114652055","https://openalex.org/W2122016003","https://openalex.org/W2268598456","https://openalex.org/W2287814884","https://openalex.org/W2566564364","https://openalex.org/W2624385633","https://openalex.org/W2728943311","https://openalex.org/W2751966227","https://openalex.org/W2794282654","https://openalex.org/W2798058877","https://openalex.org/W2806777472","https://openalex.org/W2886621583","https://openalex.org/W2897265483","https://openalex.org/W2900329809","https://openalex.org/W2901419740","https://openalex.org/W2910191085","https://openalex.org/W2921366764","https://openalex.org/W2931437238","https://openalex.org/W2952342634","https://openalex.org/W2973508239","https://openalex.org/W2997337171","https://openalex.org/W3040450405","https://openalex.org/W3046808099","https://openalex.org/W3125462345"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W4360995913"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}