{"id":"https://openalex.org/W2805737268","doi":"https://doi.org/10.18653/v1/s18-1028","title":"THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM","display_name":"THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805737268","doi":"https://doi.org/10.18653/v1/s18-1028","mag":"2805737268"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s18-1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1028","pdf_url":"https://www.aclweb.org/anthology/S18-1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S18-1028.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001967239","display_name":"Chuhan Wu","orcid":"https://orcid.org/0000-0001-5730-8792"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuhan Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University Beijing 100084, China","Tsinghua National Laboratory for Information Science and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076423724","display_name":"Fangzhao Wu","orcid":"https://orcid.org/0000-0001-9138-1272"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhao Wu","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068189045","display_name":"Junxin Liu","orcid":"https://orcid.org/0009-0000-6634-4031"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University Beijing 100084, China","Tsinghua National Laboratory for Information Science and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003505338","display_name":"Zhigang Yuan","orcid":"https://orcid.org/0000-0002-9299-2240"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Yuan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University Beijing 100084, China","Tsinghua National Laboratory for Information Science and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076051057","display_name":"Sixing Wu","orcid":"https://orcid.org/0009-0008-3024-0802"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixing Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University Beijing 100084, China","Tsinghua National Laboratory for Information Science and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768896","display_name":"Yongfeng Huang","orcid":"https://orcid.org/0000-0003-3825-2230"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfeng Huang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University Beijing 100084, China","Tsinghua National Laboratory for Information Science and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6791,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7436843,"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":"186","last_page":"192"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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":0.8574421405792236},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.840751051902771},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7372549772262573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020888328552246},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5828611254692078},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.523508608341217},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5120018124580383},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46922075748443604},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.467791885137558},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46326854825019836},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45785367488861084},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4149007201194763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08641430735588074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06916642189025879}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8574421405792236},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.840751051902771},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7372549772262573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020888328552246},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5828611254692078},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.523508608341217},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5120018124580383},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46922075748443604},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.467791885137558},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46326854825019836},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45785367488861084},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4149007201194763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08641430735588074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06916642189025879},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s18-1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1028","pdf_url":"https://www.aclweb.org/anthology/S18-1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s18-1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1028","pdf_url":"https://www.aclweb.org/anthology/S18-1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2184068523","display_name":null,"funder_award_id":"U1705261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3340584348","display_name":null,"funder_award_id":"U1536201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4222534746","display_name":null,"funder_award_id":"2016YFB0800402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4251984828","display_name":null,"funder_award_id":"U1636113","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4712560534","display_name":null,"funder_award_id":"U1536201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4935671595","display_name":null,"funder_award_id":"2016YFB0800402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5424458910","display_name":null,"funder_award_id":"U1705261","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5652245221","display_name":null,"funder_award_id":"U1536207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6966897851","display_name":null,"funder_award_id":"U1636113","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805737268.pdf","grobid_xml":"https://content.openalex.org/works/W2805737268.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W371426616","https://openalex.org/W1569507287","https://openalex.org/W1614298861","https://openalex.org/W1987425720","https://openalex.org/W1994645462","https://openalex.org/W2003303386","https://openalex.org/W2049434052","https://openalex.org/W2100529970","https://openalex.org/W2111975591","https://openalex.org/W2211192759","https://openalex.org/W2252215182","https://openalex.org/W2252278997","https://openalex.org/W2284289336","https://openalex.org/W2294363208","https://openalex.org/W2464521204","https://openalex.org/W2526960150","https://openalex.org/W2575276796","https://openalex.org/W2754782386","https://openalex.org/W2756474357","https://openalex.org/W2756723094","https://openalex.org/W2757162124","https://openalex.org/W2758204326","https://openalex.org/W2805744755","https://openalex.org/W2950577311","https://openalex.org/W2950974174","https://openalex.org/W2962814195","https://openalex.org/W2963223838","https://openalex.org/W3027304069"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2117643817"],"abstract_inverted_index":{"Traditional":[0],"sentiment":[1,9,21,39,45],"analysis":[2],"approaches":[3],"mainly":[4],"focus":[5],"on":[6,58],"classifying":[7],"the":[8,20,25,34,71,102,109,125,133],"polarities":[10],"or":[11,38],"emotion":[12,126],"categories":[13],"of":[14,36,40,120],"texts.":[15,76],"However,":[16],"they":[17],"can't":[18],"exploit":[19],"intensity":[22,35,110,127],"information.":[23,46,84],"Therefore,":[24],"SemEval-2018":[26],"Task":[27],"1":[28],"is":[29,67,92],"aimed":[30],"to":[31,42,49,69,81,94],"automatically":[32],"determine":[33],"emotions":[37],"tweets":[41],"mine":[43],"fine-grained":[44],"In":[47,63],"order":[48],"address":[50],"this":[51,83],"task,":[52,129],"we":[53],"propose":[54],"a":[55],"system":[56,113,143],"based":[57],"an":[59,115],"attention":[60,79],"CNN-LSTM":[61],"model.":[62],"our":[64,142],"model,":[65],"LSTM":[66],"used":[68,93],"extract":[70,95],"long-term":[72],"contextual":[73],"information":[74],"from":[75],"We":[77],"apply":[78],"techniques":[80],"selecting":[82],"A":[85],"CNN":[86,104],"layer":[87],"with":[88],"different":[89],"kernel":[90],"sizes":[91],"local":[96],"features.":[97],"The":[98],"dense":[99],"layers":[100],"take":[101],"pooled":[103],"feature":[105],"maps":[106],"and":[107,130],"predict":[108],"scores.":[111],"Our":[112],"achieves":[114],"average":[116],"Pearson":[117],"correlation":[118],"score":[119],"0.722":[121],"(ranked":[122,137],"12/48)":[123],"in":[124,132],"regression":[128,135],"0.810":[131],"valence":[134],"task":[136],"15/38).":[138],"It":[139],"indicates":[140],"that":[141],"can":[144],"be":[145],"further":[146],"extended.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
