{"id":"https://openalex.org/W3028222879","doi":"https://doi.org/10.1007/s41019-020-00122-4","title":"Contextual Sentiment Neural Network for Document Sentiment Analysis","display_name":"Contextual Sentiment Neural Network for Document Sentiment Analysis","publication_year":2020,"publication_date":"2020-05-20","ids":{"openalex":"https://openalex.org/W3028222879","doi":"https://doi.org/10.1007/s41019-020-00122-4","mag":"3028222879"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-020-00122-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-020-00122-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-020-00122-4.pdf","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://link.springer.com/content/pdf/10.1007/s41019-020-00122-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035683036","display_name":"Tomoki Ito","orcid":"https://orcid.org/0000-0003-4200-1311"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoki Ito","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4200-1311","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621466","display_name":"Kota Tsubouchi","orcid":"https://orcid.org/0000-0002-7753-8939"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kota Tsubouchi","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028823648","display_name":"Hiroki Sakaji","orcid":"https://orcid.org/0000-0001-5030-625X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Sakaji","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030387579","display_name":"Tatsuo Yamashita","orcid":"https://orcid.org/0009-0007-2236-9633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tatsuo Yamashita","raw_affiliation_strings":["Yahoo Japan Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205949","display_name":"Kiyoshi Izumi","orcid":"https://orcid.org/0000-0003-0870-7310"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Izumi","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035683036"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":4.1979,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95086983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"180","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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":0.994700014591217,"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/interpretability","display_name":"Interpretability","score":0.9594904184341431},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8436381816864014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.829369068145752},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.673432469367981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110450029373169},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6072379350662231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.599353015422821},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5930611491203308},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44008877873420715},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.424783855676651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39378973841667175}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9594904184341431},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8436381816864014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.829369068145752},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.673432469367981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110450029373169},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6072379350662231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.599353015422821},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5930611491203308},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44008877873420715},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.424783855676651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39378973841667175},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-020-00122-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-020-00122-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-020-00122-4.pdf","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:406f94228d3e4fca9cbd0b39cb4a69e6","is_oa":true,"landing_page_url":"https://doaj.org/article/406f94228d3e4fca9cbd0b39cb4a69e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 5, Iss 2, Pp 180-192 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-020-00122-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-020-00122-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-020-00122-4.pdf","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":[],"awards":[{"id":"https://openalex.org/G957064450","display_name":null,"funder_award_id":"JP17J04768","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3028222879.pdf","grobid_xml":"https://content.openalex.org/works/W3028222879.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1787224781","https://openalex.org/W1832693441","https://openalex.org/W2004193057","https://openalex.org/W2022204871","https://openalex.org/W2095705004","https://openalex.org/W2099813784","https://openalex.org/W2112021086","https://openalex.org/W2113097878","https://openalex.org/W2131774270","https://openalex.org/W2134264955","https://openalex.org/W2150376021","https://openalex.org/W2250243742","https://openalex.org/W2460474657","https://openalex.org/W2470673105","https://openalex.org/W2508309896","https://openalex.org/W2513699236","https://openalex.org/W2516809705","https://openalex.org/W2552204443","https://openalex.org/W2552901897","https://openalex.org/W2605409611","https://openalex.org/W2626778328","https://openalex.org/W2740747242","https://openalex.org/W2741783618","https://openalex.org/W2764024122","https://openalex.org/W2773524130","https://openalex.org/W2788893468","https://openalex.org/W2807767651","https://openalex.org/W2842186253","https://openalex.org/W2949197630","https://openalex.org/W2949709688","https://openalex.org/W2950133940","https://openalex.org/W2962851944","https://openalex.org/W2963382180","https://openalex.org/W2964045325","https://openalex.org/W2964216356"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Abstract":[0],"Although":[1],"deep":[2],"neural":[3,31,37],"networks":[4],"are":[5,16],"excellent":[6],"for":[7,178],"text":[8],"sentiment":[9,36,48,79,82,91,96,111],"analysis,":[10],"their":[11,21],"applications":[12],"in":[13,51,114,127,134,185],"real-world":[14],"practice":[15],"occasionally":[17],"limited":[18],"owing":[19],"to":[20],"black-box":[22],"property.":[23],"In":[24],"this":[25,102,138,151],"study,":[26],"we":[27,153,168],"propose":[28,154],"a":[29,52,115,131,155],"novel":[30,156],"network":[32,38,103],"model":[33,40],"called":[34,159],"contextual":[35,90,95],"(CSNN)":[39],"that":[41,54,171,191],"can":[42,61,104],"explain":[43,105],"the":[44,64,67,72,76,106,122,128,135,141,172,180,192,196],"process":[45,107],"of":[46,66,99,108,124,137,182],"its":[47,109],"analysis":[49,112],"prediction":[50],"way":[53,117],"humans":[55],"find":[56],"natural":[57],"and":[58,60,93,199],"agreeable":[59],"catch":[62],"up":[63],"summary":[65],"contents.":[68],"The":[69],"CSNN":[70,129,139,193],"has":[71,194],"following":[73],"interpretable":[74],"layers:":[75],"word-level":[77,81,85,89],"original":[78],"layer,":[80,84,88,92],"shift":[83],"global":[86],"importance":[87],"concept-level":[94],"layer.":[97],"Because":[98],"these":[100,119],"layers,":[101],"document-level":[110],"results":[113],"human-like":[116],"using":[118],"layers.":[120],"Realizing":[121],"interpretability":[123,181],"each":[125,183],"layer":[126,184],"is":[130,176],"crucial":[132],"problem":[133],"development":[136],"because":[140],"general":[142],"back-propagation":[143],"method":[144],"cannot":[145],"realize":[146,150],"such":[147],"interpretability.":[148],"To":[149],"interpretability,":[152],"learning":[157,175],"strategy":[158],"initialization":[160],"propagation":[161],"(IP)":[162],"learning.":[163],"Using":[164],"real":[165],"textual":[166],"datasets,":[167],"experimentally":[169,189],"demonstrate":[170,190],"proposed":[173],"IP":[174],"effective":[177],"improving":[179],"CSNN.":[186],"We":[187],"then":[188],"both":[195],"high":[197,200],"predictability":[198],"explanation":[201],"ability.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
