{"id":"https://openalex.org/W2805755436","doi":"https://doi.org/10.18653/v1/s18-1080","title":"Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine","display_name":"Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805755436","doi":"https://doi.org/10.18653/v1/s18-1080","mag":"2805755436"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s18-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1080","pdf_url":"https://www.aclweb.org/anthology/S18-1080.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S18-1080.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051416212","display_name":"Daniel Kopev","orcid":null},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Daniel Kopev","raw_affiliation_strings":["FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053270025","display_name":"A Atanasov","orcid":"https://orcid.org/0000-0002-6604-0553"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Atanas Atanasov","raw_affiliation_strings":["FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043591543","display_name":"Dimitrina Zlatkova","orcid":"https://orcid.org/0009-0006-6766-4559"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Dimitrina Zlatkova","raw_affiliation_strings":["FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076120409","display_name":"Momchil Hardalov","orcid":"https://orcid.org/0000-0001-8095-3570"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Momchil Hardalov","raw_affiliation_strings":["FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076908482","display_name":"Ivan Koychev","orcid":"https://orcid.org/0000-0003-3919-030X"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ivan Koychev","raw_affiliation_strings":["FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FMI, Sofia University \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103281808","display_name":"Ivelina Nikolova","orcid":null},"institutions":[{"id":"https://openalex.org/I24768866","display_name":"Bulgarian Academy of Sciences","ror":"https://ror.org/01x8hew03","country_code":"BG","type":"government","lineage":["https://openalex.org/I24768866"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ivelina Nikolova","raw_affiliation_strings":["IICT, Bulgarian Academy of Sciences, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IICT, Bulgarian Academy of Sciences, Sofia, Bulgaria","institution_ids":["https://openalex.org/I24768866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112027844","display_name":"Galia Angelova","orcid":null},"institutions":[{"id":"https://openalex.org/I24768866","display_name":"Bulgarian Academy of Sciences","ror":"https://ror.org/01x8hew03","country_code":"BG","type":"government","lineage":["https://openalex.org/I24768866"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Galia Angelova","raw_affiliation_strings":["IICT, Bulgarian Academy of Sciences, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IICT, Bulgarian Academy of Sciences, Sofia, Bulgaria","institution_ids":["https://openalex.org/I24768866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77166198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}},{"id":"https://openalex.org/T13155","display_name":"Digital Communication and Language","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9961000084877014,"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":0.8813917636871338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.869043231010437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016425728797913},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6337239742279053},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5759232044219971},{"id":"https://openalex.org/keywords/emoji","display_name":"Emoji","score":0.5700896978378296},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5548219084739685},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5103668570518494},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5085395574569702},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49484628438949585},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47282302379608154},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46705424785614014},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.42161136865615845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32087016105651855},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.21421650052070618},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10237288475036621}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8813917636871338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.869043231010437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016425728797913},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6337239742279053},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5759232044219971},{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.5700896978378296},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5548219084739685},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5103668570518494},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5085395574569702},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49484628438949585},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47282302379608154},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46705424785614014},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.42161136865615845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32087016105651855},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.21421650052070618},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10237288475036621},{"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/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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/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/s18-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1080","pdf_url":"https://www.aclweb.org/anthology/S18-1080.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/s18-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1080","pdf_url":"https://www.aclweb.org/anthology/S18-1080.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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805755436.pdf","grobid_xml":"https://content.openalex.org/works/W2805755436.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W193524605","https://openalex.org/W1486649854","https://openalex.org/W1771464967","https://openalex.org/W1832693441","https://openalex.org/W2040467972","https://openalex.org/W2051434435","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2250539671","https://openalex.org/W2462891382","https://openalex.org/W2470673105","https://openalex.org/W2571906210","https://openalex.org/W2594184914","https://openalex.org/W2806198715","https://openalex.org/W4234117503","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W2807533849","https://openalex.org/W2117643817","https://openalex.org/W2805057102","https://openalex.org/W3003606604","https://openalex.org/W3088730096","https://openalex.org/W4385386330","https://openalex.org/W2795129682","https://openalex.org/W3040974839"],"abstract_inverted_index":{"We":[0,34,65],"present":[1],"the":[2],"system":[3],"built":[4],"for":[5],"SemEval-2018":[6],"Task":[7],"2":[8],"on":[9],"Emoji":[10],"Prediction.":[11],"Although":[12],"Twitter":[13],"messages":[14],"are":[15],"very":[16],"short":[17],"we":[18,58],"managed":[19],"to":[20,51],"design":[21],"a":[22,68,80,84],"wide":[23,69],"variety":[24],"of":[25,38,71],"features:":[26],"textual,":[27],"semantic,":[28],"sentiment,":[29],"emotion-,":[30],"and":[31,48,62,73,83],"colorrelated":[32],"ones.":[33],"investigated":[35],"different":[36],"methods":[37],"text":[39,43,57],"preprocessing":[40],"including":[41],"replacing":[42],"emojis":[44],"with":[45,67],"respective":[46],"tokens":[47],"splitting":[49],"hashtags":[50],"capture":[52],"more":[53],"meaning.":[54],"To":[55],"represent":[56],"used":[59],"word":[60,63],"n-grams":[61],"embeddings.":[64],"experimented":[66],"range":[70],"classifiers":[72],"our":[74],"best":[75],"results":[76],"were":[77],"achieved":[78],"using":[79],"SVM-based":[81],"classifier":[82],"Hierarchical":[85],"Attention":[86],"Neural":[87],"Network.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
