{"id":"https://openalex.org/W2608530403","doi":"https://doi.org/10.1007/s41019-017-0040-6","title":"Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis","display_name":"Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis","publication_year":2017,"publication_date":"2017-04-27","ids":{"openalex":"https://openalex.org/W2608530403","doi":"https://doi.org/10.1007/s41019-017-0040-6","mag":"2608530403"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-017-0040-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0040-6","pdf_url":null,"source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1007/s41019-017-0040-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100631152","display_name":"Zhe Zhao","orcid":"https://orcid.org/0000-0003-4189-3258"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Zhao","raw_affiliation_strings":["School of Information, Renmin University of China, Information building, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Information building, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101983989","display_name":"Tao Liu","orcid":"https://orcid.org/0009-0000-6141-3472"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["School of Information, Renmin University of China, Information building, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Information building, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077324106","display_name":"Li Shen","orcid":"https://orcid.org/0000-0003-4638-3329"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Li","raw_affiliation_strings":["Institute of Chinese Information Processing, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Chinese Information Processing, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080243049","display_name":"Bofang Li","orcid":"https://orcid.org/0009-0000-9723-2999"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bofang Li","raw_affiliation_strings":["School of Information, Renmin University of China, Information building, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Information building, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008721449","display_name":"Xiaoyong Du","orcid":"https://orcid.org/0000-0002-5757-9135"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Du","raw_affiliation_strings":["School of Information, Renmin University of China, Information building, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Information building, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100631152"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.6619,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87822589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"2","first_page":"178","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9986000061035156,"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/weighting","display_name":"Weighting","score":0.8639789819717407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8292326927185059},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.768882155418396},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6747402548789978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066126823425293},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5248741507530212},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4641394019126892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45851752161979675},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4322744905948639},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42922890186309814},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35026925802230835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07451274991035461}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8639789819717407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292326927185059},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.768882155418396},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6747402548789978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066126823425293},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5248741507530212},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4641394019126892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45851752161979675},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4322744905948639},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42922890186309814},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35026925802230835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07451274991035461},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-017-0040-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0040-6","pdf_url":null,"source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6b980545c26b4e81a18aa272750bcc88","is_oa":true,"landing_page_url":"https://doaj.org/article/6b980545c26b4e81a18aa272750bcc88","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 2, Iss 2, Pp 178-186 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-017-0040-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0040-6","pdf_url":null,"source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G988839521","display_name":null,"funder_award_id":"61472428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1593045043","https://openalex.org/W1615991656","https://openalex.org/W1832693441","https://openalex.org/W1889268436","https://openalex.org/W2025954161","https://openalex.org/W2109634664","https://openalex.org/W2110951295","https://openalex.org/W2113459411","https://openalex.org/W2118585731","https://openalex.org/W2125031621","https://openalex.org/W2131744502","https://openalex.org/W2135731857","https://openalex.org/W2153579005","https://openalex.org/W2166706824","https://openalex.org/W2250473257","https://openalex.org/W2250539671","https://openalex.org/W2518933242","https://openalex.org/W2963042536","https://openalex.org/W2964321678","https://openalex.org/W6600756316"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W2043505748"],"abstract_inverted_index":{"With":[0],"the":[1],"rapid":[2],"growth":[3],"of":[4,21,61,83,88],"social":[5],"media,":[6],"sentiment":[7,24,121],"analysis":[8,25,122],"has":[9],"received":[10],"growing":[11],"attention":[12],"from":[13,73],"both":[14,86],"academic":[15],"and":[16],"industrial":[17],"fields.":[18],"One":[19],"line":[20,60],"researches":[22,62],"for":[23,120],"is":[26],"to":[27,41,94,98],"feed":[28],"bag-of-words":[29],"(BOW)":[30],"text":[31,69,116],"representation":[32],"into":[33],"classifiers.":[34],"Usually,":[35],"raw":[36,74],"BOW":[37],"requires":[38],"weighting":[39,105,125],"schemes":[40,106,126],"obtain":[42],"better":[43,115],"performance,":[44],"where":[45,67],"important":[46,101],"words":[47],"are":[48,55,71,107,118,127],"given":[49,56],"more":[50],"weights":[51,93],"while":[52],"unimportant":[53],"ones":[54],"less":[57],"weights.":[58],"Another":[59],"focuses":[63],"on":[64,100],"neural":[65,96,130],"models,":[66],"distributed":[68],"representations":[70],"learned":[72,119],"texts":[75],"automatically.":[76],"In":[77],"this":[78,110],"paper,":[79],"we":[80],"take":[81],"advantages":[82],"techniques":[84],"in":[85,109],"lines":[87],"researches.":[89],"We":[90,112],"use":[91],"words\u2019":[92],"guide":[95],"models":[97],"focus":[99],"words.":[102],"Various":[103],"supervised":[104],"explored":[108],"work.":[111],"discover":[113],"that":[114],"features":[117],"when":[123],"suitable":[124],"applied":[128],"upon":[129],"models.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}