{"id":"https://openalex.org/W2462513901","doi":"https://doi.org/10.18653/v1/s16-1035","title":"PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.","display_name":"PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2462513901","doi":"https://doi.org/10.18653/v1/s16-1035","mag":"2462513901"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1035","pdf_url":"https://www.aclweb.org/anthology/S16-1035.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1035.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018534651","display_name":"Uladzimir Sidarenka","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Uladzimir Sidarenka","raw_affiliation_strings":["Applied Computational Linguistics/FSP Cognitive Science","University of Potsdam Karl-Liebknecht Strae 24-25 14476 Potsdam","University of Potsdam Karl-Liebknecht Stra\u00dfe 24-25 14476 Potsdam"],"affiliations":[{"raw_affiliation_string":"Applied Computational Linguistics/FSP Cognitive Science","institution_ids":[]},{"raw_affiliation_string":"University of Potsdam Karl-Liebknecht Strae 24-25 14476 Potsdam","institution_ids":["https://openalex.org/I176453806"]},{"raw_affiliation_string":"University of Potsdam Karl-Liebknecht Stra\u00dfe 24-25 14476 Potsdam","institution_ids":["https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018534651"],"corresponding_institution_ids":["https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83434712,"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":"230","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/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":0.9980000257492065,"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":0.8877353668212891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8156788349151611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6569362282752991},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.655644416809082},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6333427429199219},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6203799843788147},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5455543398857117},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5332721471786499},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5292213559150696},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5290873050689697},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4962778687477112},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45654818415641785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44125914573669434},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4014517664909363},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.29068681597709656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1031227707862854}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8877353668212891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156788349151611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6569362282752991},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.655644416809082},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6333427429199219},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6203799843788147},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5455543398857117},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5332721471786499},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5292213559150696},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5290873050689697},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4962778687477112},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45654818415641785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44125914573669434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4014517664909363},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.29068681597709656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1031227707862854},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s16-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1035","pdf_url":"https://www.aclweb.org/anthology/S16-1035.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1035","pdf_url":"https://www.aclweb.org/anthology/S16-1035.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2462513901.pdf","grobid_xml":"https://content.openalex.org/works/W2462513901.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W42251416","https://openalex.org/W71795751","https://openalex.org/W196214544","https://openalex.org/W1605860798","https://openalex.org/W1677182931","https://openalex.org/W1743243001","https://openalex.org/W1889268436","https://openalex.org/W2022204871","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2101609803","https://openalex.org/W2103483064","https://openalex.org/W2108287887","https://openalex.org/W2108646579","https://openalex.org/W2148534590","https://openalex.org/W2154436402","https://openalex.org/W2156413587","https://openalex.org/W2180877453","https://openalex.org/W2250243742","https://openalex.org/W2250608060","https://openalex.org/W2259472270","https://openalex.org/W2267835966","https://openalex.org/W2460474657","https://openalex.org/W2546302380","https://openalex.org/W2752201871","https://openalex.org/W2949709688","https://openalex.org/W2951559648","https://openalex.org/W2963682821","https://openalex.org/W3038058348","https://openalex.org/W4313490656"],"related_works":["https://openalex.org/W2275433313","https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2728430307","https://openalex.org/W1540611520","https://openalex.org/W2117643817","https://openalex.org/W47912076","https://openalex.org/W1984947604"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"alternative":[4],"approach":[5],"to":[6,17,66],"polarity":[7,92,100],"and":[8,83,94,101,143],"intensity":[9],"classification":[10],"of":[11,51,69,99,103,132],"sentiments":[12],"in":[13,77,122],"microblogs.":[14],"In":[15],"contrast":[16],"previous":[18],"works,":[19],"which":[20,109,130],"either":[21],"relied":[22],"on":[23,61,88,154],"carefully":[24],"designed":[25],"hand-crafted":[26],"feature":[27],"sets":[28,114],"or":[29],"automatically":[30],"derived":[31],"neural":[32,59],"embeddings":[33,40],"for":[34],"words,":[35],"our":[36,86,127],"method":[37],"harnesses":[38],"character":[39],"as":[41],"its":[42],"main":[43],"input":[44],"units.":[45],"We":[46],"obtain":[47],"task-specific":[48],"vector":[49],"representations":[50],"characters":[52],"by":[53,116,139],"training":[54],"a":[55,133,140],"deep":[56],"multi-layer":[57],"convolutional":[58,135],"network":[60],"the":[62,67,70,123,151],"labeled":[63],"dataset":[64],"provided":[65],"participants":[68],"SemEval-2016":[71],"Shared":[72],"Task":[73],"4":[74],"(Sentiment":[75],"Analysis":[76],"Twitter;":[78],"Nakov":[79],"et":[80],"al.,":[81],"2016b)":[82],"subsequently":[84],"evaluate":[85],"classifiers":[87],"subtasks":[89],"B":[90],"(two-way":[91],"classification)":[93],"C":[95],"(joint":[96],"five-way":[97],"prediction":[98],"intensity)":[102],"this":[104],"competition.":[105],"Our":[106],"first":[107],"system,":[108],"uses":[110],"three":[111,144],"manifold":[112],"convolution":[113],"followed":[115,138],"four":[117],"non-linear":[118],"layers,":[119],"ranks":[120],"16":[121],"former":[124],"track;":[125],"while":[126],"second":[128],"network,":[129],"consists":[131],"single":[134],"filter":[136],"set":[137],"highway":[141],"layer":[142],"non-linearities":[145],"with":[146],"linear":[147],"mappings":[148],"in-between,":[149],"attains":[150],"10-th":[152],"place":[153],"subtask":[155],"C.":[156],"1":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
