{"id":"https://openalex.org/W2736116184","doi":"https://doi.org/10.1145/3106426.3106490","title":"A semantics-based measure of emoji similarity","display_name":"A semantics-based measure of emoji similarity","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2736116184","doi":"https://doi.org/10.1145/3106426.3106490","mag":"2736116184"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106490","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.04653","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sanjaya Wijeratne","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjaya Wijeratne","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lakshika Balasuriya","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lakshika Balasuriya","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Amit Sheth","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Sheth","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":null,"display_name":"Derek Doran","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek Doran","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2046,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92131306,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8015000224113464,"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":0.8015000224113464,"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":0.06129999831318855,"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":0.01360000018030405,"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/emoji","display_name":"Emoji","score":0.9944999814033508},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5846999883651733},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5799999833106995},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5590000152587891},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3747999966144562}],"concepts":[{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.9944999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887999773025513},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5846999883651733},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5799999833106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684999823570251},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5371000170707703},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3106426.3106490","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106490","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.04653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.04653","pdf_url":"https://arxiv.org/pdf/1707.04653","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":"pmh:oai:corescholar.libraries.wright.edu:knoesis-2519","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/knoesis/1139","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kno.e.sis Publications","raw_type":"text"},{"id":"pmh:oai:works.bepress.com:amit_sheth-10087","is_oa":true,"landing_page_url":"https://works.bepress.com/amit_sheth/555","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Amit P. Sheth","raw_type":"text"},{"id":"pmh:oai:works.bepress.com:derek_doran-10009","is_oa":true,"landing_page_url":"https://works.bepress.com/derek_doran/51","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Derek Doran","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1707.04653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.04653","pdf_url":"https://arxiv.org/pdf/1707.04653","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1346288265","display_name":null,"funder_award_id":"CNS-1513721","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337347","display_name":"National Institute on Drug Abuse","ror":"https://ror.org/00fq5cm18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1615991656","https://openalex.org/W1854884267","https://openalex.org/W1971222444","https://openalex.org/W1971709890","https://openalex.org/W2061504941","https://openalex.org/W2122522916","https://openalex.org/W2141766660","https://openalex.org/W2160221265","https://openalex.org/W2296157284","https://openalex.org/W2296653400","https://openalex.org/W2436001372","https://openalex.org/W2510632587","https://openalex.org/W2510851569","https://openalex.org/W2513139648","https://openalex.org/W2526960150","https://openalex.org/W2535739320","https://openalex.org/W2553192308","https://openalex.org/W2597395360","https://openalex.org/W2882319491","https://openalex.org/W2963291843","https://openalex.org/W2963502184"],"related_works":[],"abstract_inverted_index":{"Emoji":[0],"have":[1],"grown":[2],"to":[3,103,124],"become":[4,26],"one":[5],"of":[6,11,23,40,54,58,127,142],"the":[7,14,21,38,55,71,158],"most":[8],"important":[9,28],"forms":[10],"communication":[12],"on":[13,164],"web.":[15],"With":[16],"its":[17],"widespread":[18],"use,":[19],"measuring":[20],"similarity":[22,57,122],"emoji":[24,59,68,76,78,82,105,131,144,161,172],"has":[25],"an":[27],"problem":[29],"for":[30],"contemporary":[31],"text":[32],"processing":[33],"since":[34],"it":[35],"lies":[36],"at":[37],"heart":[39],"sentiment":[41,149],"analysis,":[42],"search,":[43],"and":[44,81,85,93,98,152,170,181],"interface":[45],"design":[46],"tasks.":[47],"This":[48],"paper":[49,180],"presents":[50],"a":[51,113,125,139,148],"comprehensive":[52],"analysis":[53,150],"semantic":[56,121],"through":[60],"embedding":[61,101,145,162,173],"models":[62,102,146,156,174],"that":[63,154],"are":[64,175],"learned":[65],"over":[66],"machine-readable":[67],"meanings":[69],"in":[70],"EmojiNet":[72],"knowledge":[73],"base.":[74],"Using":[75],"descriptions,":[77],"sense":[79,83],"labels":[80],"definitions,":[84],"with":[86,135,178],"different":[87],"training":[88],"corpora":[89],"obtained":[90],"from":[91,185],"Twitter":[92],"Google":[94],"News,":[95],"we":[96,111,137],"develop":[97],"test":[99],"multiple":[100],"measure":[104],"similarity.":[106],"To":[107],"evaluate":[108],"our":[109,143,155,171],"work,":[110],"create":[112],"new":[114],"dataset":[115,169],"called":[116],"EmoSim508,":[117,136],"which":[118],"assigns":[119],"human-annotated":[120],"scores":[123],"set":[126],"508":[128],"carefully":[129],"selected":[130],"pairs.":[132],"After":[133],"validation":[134],"present":[138],"real-world":[140],"use-case":[141],"using":[147],"task":[151],"show":[153],"outperform":[157],"previous":[159],"best-performing":[160],"model":[163],"this":[165,179],"task.":[166],"The":[167],"EmoSim508":[168],"publicly":[176],"released":[177],"can":[182],"be":[183],"downloaded":[184],"http://emojinet.knoesis.org/.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2017-07-21T00:00:00"}