{"id":"https://openalex.org/W4389938929","doi":"https://doi.org/10.1109/wi-iat59888.2023.00103","title":"Methods for Determining Emotion in Social Networks","display_name":"Methods for Determining Emotion in Social Networks","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4389938929","doi":"https://doi.org/10.1109/wi-iat59888.2023.00103"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wi-iat59888.2023.00103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5062889471","display_name":"Banu Yergesh","orcid":"https://orcid.org/0000-0002-8967-2625"},"institutions":[{"id":"https://openalex.org/I10232997","display_name":"L. N. Gumilyov Eurasian National University","ror":"https://ror.org/0242cby63","country_code":"KZ","type":"education","lineage":["https://openalex.org/I10232997"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Banu Yergesh","raw_affiliation_strings":["Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I10232997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023021285","display_name":"Gulmira Bekmanova","orcid":"https://orcid.org/0000-0001-8554-7627"},"institutions":[{"id":"https://openalex.org/I10232997","display_name":"L. N. Gumilyov Eurasian National University","ror":"https://ror.org/0242cby63","country_code":"KZ","type":"education","lineage":["https://openalex.org/I10232997"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Gulmira Bekmanova","raw_affiliation_strings":["Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I10232997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011020839","display_name":"Lyaila Kenzhina","orcid":null},"institutions":[],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Lyaila Kenzhina","raw_affiliation_strings":["LocaGroup LLP, Astana, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"LocaGroup LLP, Astana, Kazakhstan","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":"631","last_page":"635"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9449,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9449,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9115,"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/sentiment-analysis","display_name":"Sentiment Analysis","score":0.55648005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804653},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.5765527},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.55648005},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49245557},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39240482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3182776},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wi-iat59888.2023.00103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.43,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W2130716178","https://openalex.org/W2481681431","https://openalex.org/W2624419954","https://openalex.org/W2735497082","https://openalex.org/W2806966100","https://openalex.org/W2915531941","https://openalex.org/W2955237167","https://openalex.org/W3043400672","https://openalex.org/W3168023126","https://openalex.org/W3196324893","https://openalex.org/W3199558635","https://openalex.org/W4200301305","https://openalex.org/W4213350530","https://openalex.org/W4214913438","https://openalex.org/W4229449091","https://openalex.org/W4283380047","https://openalex.org/W4309134503","https://openalex.org/W4317380951","https://openalex.org/W4382366685"],"related_works":["https://openalex.org/W4383890670","https://openalex.org/W4256356876","https://openalex.org/W2912039559","https://openalex.org/W2394235543","https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2376320687","https://openalex.org/W2373226572","https://openalex.org/W2343691239","https://openalex.org/W1880436784"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,9,27],"results":[4],"of":[5,11,16,29,49,63,80],"a":[6,46],"study":[7],"on":[8,21,33],"development":[10],"methods":[12,65,92],"for":[13,66],"sentiment":[14],"analysis":[15,48],"images":[17,40],"and":[18,36,41,51,69,89,97,110],"user":[19,37,42],"posts":[20,43],"social":[22,73,85],"networks,":[23],"as":[24,26],"well":[25],"determination":[28],"human":[30],"emotions":[31],"based":[32],"color":[34],"preferences":[35],"comments.":[38],"Analyzing":[39],"will":[44,101],"facilitate":[45],"psychological":[47],"colors":[50],"enable":[52],"us":[53],"to":[54,76,94,104],"ascertain":[55],"an":[56],"individual's":[57],"emotional":[58],"state.":[59],"The":[60],"primary":[61],"objective":[62],"developing":[64],"detecting":[67],"subjectivity":[68],"analyzing":[70],"moods":[71],"in":[72],"networks":[74],"is":[75],"identify":[77],"tools":[78],"capable":[79],"extracting":[81],"subjective":[82],"information":[83],"from":[84],"platforms,":[86],"including":[87],"opinions":[88],"moods.":[90],"These":[91],"aim":[93],"create":[95],"structured":[96],"effective":[98],"data,":[99],"which":[100],"be":[102],"utilized":[103],"inform":[105],"decision-making,":[106],"understand":[107],"individuals'":[108],"needs,":[109],"discern":[111],"attitudes":[112],"toward":[113],"specific":[114],"events.":[115]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389938929","counts_by_year":[],"updated_date":"2024-12-11T13:30:41.702271","created_date":"2023-12-20"}