{"id":"https://openalex.org/W2971882842","doi":"https://doi.org/10.1109/access.2019.2938966","title":"Identifying Implicit Polarity of Events by Using an Attention-Based Neural Network Model","display_name":"Identifying Implicit Polarity of Events by Using an Attention-Based Neural Network Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971882842","doi":"https://doi.org/10.1109/access.2019.2938966","mag":"2971882842"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2938966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822713.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822713.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004119953","display_name":"Chunli Xiang","orcid":"https://orcid.org/0000-0002-4028-9887"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunli Xiang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4028-9887","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055938662","display_name":"Yafeng Ren","orcid":"https://orcid.org/0000-0002-0291-4733"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafeng Ren","raw_affiliation_strings":["Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0291-4733","affiliations":[{"raw_affiliation_string":"Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058877618","display_name":"Donghong Ji","orcid":"https://orcid.org/0000-0001-9613-5927"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghong Ji","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004119953"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4355,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72166497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"133170","last_page":"133177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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":0.9957000017166138,"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":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.7456347942352295},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6622601747512817},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5859450101852417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.376904159784317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456347942352295},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6622601747512817},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5859450101852417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.376904159784317},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2938966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822713.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a3bd8af1bda04853b84d20071a715c0a","is_oa":true,"landing_page_url":"https://doaj.org/article/a3bd8af1bda04853b84d20071a715c0a","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":"IEEE Access, Vol 7, Pp 133170-133177 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2938966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822713.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2128248132","display_name":null,"funder_award_id":"2017YFC1200500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6442732870","display_name":null,"funder_award_id":"61772378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6595826518","display_name":null,"funder_award_id":"61702121","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"},{"id":"https://openalex.org/F4320324850","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971882842.pdf","grobid_xml":"https://content.openalex.org/works/W2971882842.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2005708641","https://openalex.org/W2050106721","https://openalex.org/W2084046180","https://openalex.org/W2086252570","https://openalex.org/W2095705004","https://openalex.org/W2107497673","https://openalex.org/W2110234338","https://openalex.org/W2112251034","https://openalex.org/W2133564696","https://openalex.org/W2140321362","https://openalex.org/W2155120841","https://openalex.org/W2157331557","https://openalex.org/W2166706824","https://openalex.org/W2168681026","https://openalex.org/W2185377482","https://openalex.org/W2251770468","https://openalex.org/W2251792193","https://openalex.org/W2251830157","https://openalex.org/W2251890715","https://openalex.org/W2251900677","https://openalex.org/W2252215182","https://openalex.org/W2294761111","https://openalex.org/W2296071000","https://openalex.org/W2464821035","https://openalex.org/W2465978385","https://openalex.org/W2513634304","https://openalex.org/W2529550020","https://openalex.org/W2554915555","https://openalex.org/W2562607067","https://openalex.org/W2571563030","https://openalex.org/W2593134789","https://openalex.org/W2593754960","https://openalex.org/W2740567223","https://openalex.org/W2757541972","https://openalex.org/W2792763200","https://openalex.org/W2805765768","https://openalex.org/W2808303813","https://openalex.org/W2888645598","https://openalex.org/W2895021214","https://openalex.org/W2962897020","https://openalex.org/W2963954913","https://openalex.org/W4241335599","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6676449793","https://openalex.org/W6676867598","https://openalex.org/W6679434410","https://openalex.org/W6682492021","https://openalex.org/W6686701161","https://openalex.org/W6691590749","https://openalex.org/W6691664163","https://openalex.org/W6697028822","https://openalex.org/W6697121895","https://openalex.org/W6727807531","https://openalex.org/W6730098361","https://openalex.org/W6732001033","https://openalex.org/W6752014899"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2400337198","https://openalex.org/W2354902965","https://openalex.org/W3156492509","https://openalex.org/W4253101056","https://openalex.org/W4297338612","https://openalex.org/W2390279801","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"has":[2],"attracted":[3],"extensive":[4],"attention":[5,103],"in":[6,17],"recent":[7],"years.":[8],"Existing":[9],"work":[10],"mainly":[11],"focuses":[12],"on":[13,122],"sentiment":[14,25,56,114],"classification":[15],"task":[16],"which":[18],"a":[19,41,47,61],"text":[20,48,52],"or":[21,63],"sentence":[22,90],"usually":[23],"contains":[24],"word":[26],"to":[27,77,113],"express":[28,60],"subjective":[29],"feeling.":[30],"However,":[31],"little":[32],"research":[33],"is":[34,105],"proposed":[35,131],"for":[36,107],"identifying":[37],"implicit":[38,44,79],"polarity":[39,45,80,115],"of":[40,46,81,129],"text.":[42],"Here,":[43],"means":[49],"that":[50],"the":[51,85,89,117,127,130,134],"does":[53],"not":[54],"contain":[55],"words":[57],"but":[58],"still":[59],"positive":[62],"negative":[64],"sentiment.":[65],"To":[66],"address":[67],"this":[68],"issue,":[69],"we":[70],"propose":[71],"an":[72],"attention-based":[73],"neural":[74,94,139],"network":[75,95],"model":[76,86],"identify":[78],"events.":[82],"In":[83],"particular,":[84],"first":[87],"learns":[88],"representation":[91],"by":[92],"recurrent":[93,98],"with":[96],"gated":[97],"unit.":[99],"Then":[100],"multiple":[101,109],"hops":[102],"mechanism":[104],"used":[106],"capturing":[108],"aspects":[110],"closely":[111],"related":[112],"and":[116,137],"event":[118],"type.":[119],"Experimental":[120],"results":[121],"SemEval":[123],"2015":[124],"dataset":[125],"show":[126],"effectiveness":[128],"model,":[132],"outperforming":[133],"previous":[135],"systems":[136],"strong":[138],"baselines.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
