{"id":"https://openalex.org/W4392445379","doi":"https://doi.org/10.1145/3639233.3639342","title":"Impact of Emojis in Emotion Analysis on Code-Mixed Text","display_name":"Impact of Emojis in Emotion Analysis on Code-Mixed Text","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4392445379","doi":"https://doi.org/10.1145/3639233.3639342"},"language":"en","primary_location":{"id":"doi:10.1145/3639233.3639342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101606754","display_name":"Tianai Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Tianai Tang","raw_affiliation_strings":["Intelligent Systems Research Laboratory, Assumption University, Thailand"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Assumption University, Thailand","institution_ids":["https://openalex.org/I115748381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047172904","display_name":"Kwankamol Nongpong","orcid":"https://orcid.org/0009-0009-6412-0291"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kwankamol Nongpong","raw_affiliation_strings":["Intelligent Systems Research Laboratory, Assumption University, Thailand"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Assumption University, Thailand","institution_ids":["https://openalex.org/I115748381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101606754"],"corresponding_institution_ids":["https://openalex.org/I115748381"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60362536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9890000224113464,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9810000061988831,"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":0.9409910440444946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7452653050422668},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6926192045211792},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6397859454154968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5535302758216858},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.537681519985199},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5259906649589539},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5080409049987793},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.4947945475578308},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43809133768081665},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33669519424438477},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24842235445976257},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14600849151611328},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10758024454116821}],"concepts":[{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.9409910440444946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452653050422668},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6926192045211792},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6397859454154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5535302758216858},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.537681519985199},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5259906649589539},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5080409049987793},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.4947945475578308},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43809133768081665},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33669519424438477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24842235445976257},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14600849151611328},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10758024454116821},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639233.3639342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2402354285","https://openalex.org/W2766332866","https://openalex.org/W2883853499","https://openalex.org/W2886936548","https://openalex.org/W2895595177","https://openalex.org/W2909469149","https://openalex.org/W2949454212","https://openalex.org/W2949713431","https://openalex.org/W2963291843","https://openalex.org/W2980387735","https://openalex.org/W2996350645","https://openalex.org/W3019220897","https://openalex.org/W3026887460","https://openalex.org/W3032928500","https://openalex.org/W3095850336","https://openalex.org/W3102853424","https://openalex.org/W3115932868","https://openalex.org/W3207397762","https://openalex.org/W3208530246","https://openalex.org/W4206130444","https://openalex.org/W4224026172","https://openalex.org/W4285229757","https://openalex.org/W4313398350","https://openalex.org/W6791882359","https://openalex.org/W6799857856"],"related_works":["https://openalex.org/W3214231824","https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2985411437","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W2915013665","https://openalex.org/W4386566330","https://openalex.org/W4385386330"],"abstract_inverted_index":{"With":[0],"the":[1,20,31,62,123,146,175],"maturity":[2],"of":[3,33,125,172],"sentiment":[4,127],"analysis":[5,76,105,170],"technology,":[6],"researchers":[7],"are":[8,88],"gradually":[9],"not":[10],"satisfied":[11],"with":[12,129,154],"only":[13],"excavating":[14],"positive":[15],"and":[16,46,87,119,141,145],"negative":[17],"attitudes":[18],"from":[19,38,54],"text":[21,64,75,83,117,176],"but":[22],"hope":[23],"to":[24,42,61,121],"obtain":[25],"more":[26],"delicate":[27],"emotions.":[28],"In":[29,132],"addition,":[30],"development":[32],"social":[34,49,55],"media":[35,56,116],"makes":[36],"people":[37],"different":[39,69,130],"backgrounds":[40],"like":[41],"express":[43],"their":[44],"emotions":[45],"feelings":[47],"on":[48,115,139,161],"platforms.":[50],"However,":[51],"textual":[52],"communication":[53],"is":[57,177],"too":[58],"colloquial,":[59],"leading":[60],"code-mixed":[63,103,143],"phenomenon,":[65],"where":[66],"sentences":[67],"contain":[68,84],"languages,":[70],"which":[71,173],"poses":[72],"difficulties":[73],"for":[74,101],"research.":[77],"We":[78],"observed":[79],"that":[80,150],"emojis":[81],"in":[82,168],"emotion":[85,104,162,169],"content":[86],"universal":[89],"across":[90],"various":[91],"language":[92,156,174],"texts.":[93],"This":[94],"paper":[95],"proposes":[96],"a":[97],"deep":[98],"learning":[99],"method":[100,110],"multi-class":[102],"using":[106],"emojis.":[107],"The":[108],"proposed":[109],"has":[111],"achieved":[112],"good":[113],"results":[114,147],"datasets":[118],"attempts":[120],"solve":[122],"difficulty":[124],"mixed":[126],"classification":[128],"codes.":[131],"this":[133],"work,":[134],"experiments":[135],"were":[136],"carried":[137],"out":[138],"Hindi-English":[140],"Chinese-English":[142],"datasets,":[144],"have":[148],"shown":[149],"integrating":[151],"emoji":[152],"representation":[153],"multilingual":[155],"model":[157],"yielded":[158],"4%":[159],"improvement":[160],"analysis.":[163],"Emojis":[164],"should":[165],"be":[166],"preserved":[167],"regardless":[171],"in.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}