{"id":"https://openalex.org/W2750752261","doi":"https://doi.org/10.18653/v1/s17-2129","title":"TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision","display_name":"TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2750752261","doi":"https://doi.org/10.18653/v1/s17-2129","mag":"2750752261"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2129","pdf_url":"https://www.aclweb.org/anthology/S17-2129.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2129.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085011902","display_name":"Simon M\u00fcller","orcid":"https://orcid.org/0000-0003-1684-6994"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Simon M\u00fcller","raw_affiliation_strings":["Zurich University of Applied Sciences Switzerland"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences Switzerland","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018285892","display_name":"Tobias Huonder","orcid":null},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tobias Huonder","raw_affiliation_strings":["Zurich University of Applied Sciences Switzerland"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences Switzerland","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018584668","display_name":"Jan Deriu","orcid":"https://orcid.org/0000-0002-8405-1344"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jan Deriu","raw_affiliation_strings":["Zurich University of Applied Sciences Switzerland"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences Switzerland","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077273985","display_name":"Mark Cieliebak","orcid":"https://orcid.org/0009-0007-3059-8516"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mark Cieliebak","raw_affiliation_strings":["Zurich University of Applied Sciences Switzerland"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences Switzerland","institution_ids":["https://openalex.org/I858936495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085011902"],"corresponding_institution_ids":["https://openalex.org/I858936495"],"apc_list":null,"apc_paid":null,"fwci":0.2077,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64230233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"766","last_page":"770"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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":0.9990000128746033,"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/semeval","display_name":"SemEval","score":0.9797857999801636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8434849977493286},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8039768934249878},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.72597736120224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6013880372047424},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5788058042526245},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44681882858276367},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4317891597747803},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.421103298664093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40432047843933105},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3987683653831482}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9797857999801636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434849977493286},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8039768934249878},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.72597736120224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6013880372047424},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5788058042526245},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44681882858276367},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4317891597747803},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.421103298664093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40432047843933105},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3987683653831482},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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":3,"locations":[{"id":"doi:10.18653/v1/s17-2129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2129","pdf_url":"https://www.aclweb.org/anthology/S17-2129.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcollection.zhaw.ch:11475/1855","is_oa":true,"landing_page_url":"https://digitalcollection.zhaw.ch/handle/11475/1855","pdf_url":null,"source":{"id":"https://openalex.org/S4306401810","display_name":"Z\u00fcrcher Hochschule f\u00fcr Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200744771","host_organization_name":"ZHAW Zurich University of Applied Sciences","host_organization_lineage":["https://openalex.org/I200744771"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.21256/zhaw-1529","is_oa":true,"landing_page_url":"https://doi.org/10.21256/zhaw-1529","pdf_url":null,"source":{"id":"https://openalex.org/S7407051289","display_name":"ZHAW Digital Collection","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2129","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2129","pdf_url":"https://www.aclweb.org/anthology/S17-2129.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2750752261.pdf","grobid_xml":"https://content.openalex.org/works/W2750752261.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W168564468","https://openalex.org/W1665214252","https://openalex.org/W1832693441","https://openalex.org/W1919365417","https://openalex.org/W2049434052","https://openalex.org/W2120615054","https://openalex.org/W2126725946","https://openalex.org/W2144378002","https://openalex.org/W2384495648","https://openalex.org/W2469552799","https://openalex.org/W2752201871","https://openalex.org/W2916132663","https://openalex.org/W3147292827"],"related_works":["https://openalex.org/W2117643817","https://openalex.org/W2954217959","https://openalex.org/W4385570488","https://openalex.org/W2798693377","https://openalex.org/W4385570771","https://openalex.org/W2129767422","https://openalex.org/W3210196349","https://openalex.org/W4214728004","https://openalex.org/W2950181282","https://openalex.org/W2798287483"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,28],"propose":[4],"a":[5,20,24,30],"classifier":[6],"for":[7],"predicting":[8],"topic-specific":[9],"sentiments":[10],"of":[11,33],"English":[12],"Twitter":[13],"messages.":[14],"Our":[15,37],"method":[16],"is":[17],"based":[18],"on":[19,41],"2-layer":[21],"CNN.":[22],"With":[23],"distant":[25],"supervised":[26],"phase":[27],"leverage":[29],"large":[31],"amount":[32],"weakly-labelled":[34],"training":[35],"data.":[36],"system":[38],"was":[39],"evaluated":[40],"the":[42,46,50],"data":[43],"provided":[44],"by":[45],"SemEval-2017":[47],"competition":[48],"in":[49],"Topic-Based":[51],"Message":[52],"Polarity":[53],"Classification":[54],"subtask,":[55],"where":[56],"it":[57],"ranked":[58],"4":[59],"th":[60],"place.":[61]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}