{"id":"https://openalex.org/W2756384930","doi":"https://doi.org/10.18653/v1/w17-5202","title":"Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets","display_name":"Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756384930","doi":"https://doi.org/10.18653/v1/w17-5202","mag":"2756384930"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5202","pdf_url":"https://www.aclweb.org/anthology/W17-5202.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5202.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053327738","display_name":"Jeremy Barnes","orcid":"https://orcid.org/0000-0002-8043-8058"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["DE","NO"],"is_corresponding":true,"raw_author_name":"Jeremy Barnes","raw_affiliation_strings":["Institut fr Maschinelle Sprachverarbeitung University of Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Germany","University of Oslo, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Institut fr Maschinelle Sprachverarbeitung University of Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090743286","display_name":"Roman Klinger","orcid":"https://orcid.org/0000-0002-2014-6619"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Klinger","raw_affiliation_strings":["Institut fr Maschinelle Sprachverarbeitung University of Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Germany","University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institut fr Maschinelle Sprachverarbeitung University of Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036567696","display_name":"Sabine Schulte im Walde","orcid":"https://orcid.org/0000-0002-8975-6255"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sabine Schulte im Walde","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053327738"],"corresponding_institution_ids":["https://openalex.org/I100066346","https://openalex.org/I184942183"],"apc_list":null,"apc_paid":null,"fwci":2.2821,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91079894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8502550721168518},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7615410685539246},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6583778262138367},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6576468348503113},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6504631042480469},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6395905017852783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5460616946220398},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4883429706096649},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45327723026275635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4415368437767029},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3745744228363037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3433559536933899},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32469651103019714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.05907541513442993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8502550721168518},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7615410685539246},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6583778262138367},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6576468348503113},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6504631042480469},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6395905017852783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5460616946220398},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4883429706096649},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45327723026275635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4415368437767029},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3745744228363037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3433559536933899},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32469651103019714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.05907541513442993},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":4,"locations":[{"id":"doi:10.18653/v1/w17-5202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5202","pdf_url":"https://www.aclweb.org/anthology/W17-5202.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.04219","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.04219","pdf_url":"https://arxiv.org/pdf/1709.04219","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2756384930","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1709.04219.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1709.04219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1709.04219","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5202","pdf_url":"https://www.aclweb.org/anthology/W17-5202.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5801961956","display_name":null,"funder_award_id":"SFB 732","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756384930.pdf","grobid_xml":"https://content.openalex.org/works/W2756384930.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2952230511"],"related_works":["https://openalex.org/W2964139237","https://openalex.org/W2576516426","https://openalex.org/W2750318357","https://openalex.org/W2807324141","https://openalex.org/W3016921356","https://openalex.org/W3036437494","https://openalex.org/W2250539671","https://openalex.org/W2578983297","https://openalex.org/W2584429674","https://openalex.org/W2899754878","https://openalex.org/W2582154088","https://openalex.org/W2913044599","https://openalex.org/W2949135528","https://openalex.org/W2903285529","https://openalex.org/W3152502479","https://openalex.org/W1777150271","https://openalex.org/W3183654279","https://openalex.org/W3021397509","https://openalex.org/W22861983","https://openalex.org/W3119075751"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,34,57,68,165],"good":[4,126,147],"amount":[5],"of":[6,19,25,47,103,168,171],"progress":[7],"in":[8],"sentiment":[9,129,139],"analysis":[10],"over":[11],"the":[12,17,23,52,156,169,186],"past":[13],"10":[14],"years,":[15],"including":[16],"proposal":[18],"new":[20],"methods":[21],"and":[22,75,98,108,118,122],"creation":[24],"benchmark":[26],"datasets.":[27,76,188],"In":[28,77],"some":[29],"papers,":[30],"however,":[31],"there":[32],"is":[33,54,62],"tendency":[35],"to":[36,56,64,82,95,155,164],"compare":[37],"models":[38,88],"only":[39],"on":[40,89,175,185],"one":[41],"or":[42,50],"two":[43,136],"datasets,":[44],"either":[45],"because":[46,51],"time":[48],"restraints":[49],"model":[53,70,173],"tailored":[55],"specific":[58],"task.":[59],"Accordingly,":[60],"it":[61],"hard":[63],"understand":[65],"how":[66],"well":[67,115],"certain":[69],"generalizes":[71],"across":[72,116],"different":[73,91,96,101,172,176],"tasks":[74,130],"this":[78,83],"paper,":[79],"we":[80,162,180],"contribute":[81,163],"situation":[84],"by":[85],"comparing":[86],"several":[87],"six":[90],"benchmarks,":[92],"which":[93],"belong":[94],"domains":[97],"additionally":[99],"have":[100],"levels":[102],"granularity":[104],"(binary,":[105],"3-class,":[106],"4-class":[107],"5-class).":[109],"We":[110],"show":[111],"that":[112,119,151],"Bi-LSTMs":[113,123],"perform":[114],"datasets":[117,150],"both":[120],"LSTMs":[121],"are":[124,152],"particularly":[125],"at":[127],"fine-grained":[128],"(i.":[131],"e.,":[132],"with":[133],"more":[134],"than":[135],"classes).":[137],"Incorporating":[138],"information":[140],"into":[141],"word":[142],"embeddings":[143],"during":[144],"training":[145,157],"gives":[146],"results":[148,184],"for":[149],"lexically":[153],"similar":[154],"data.":[158],"With":[159],"our":[160],"experiments,":[161],"better":[166],"understanding":[167],"performance":[170],"architectures":[174],"data":[177],"sets.":[178],"Consequently,":[179],"detect":[181],"novel":[182],"state-of-the-art":[183],"SenTube":[187]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2022-10-04T00:00:00"}
