{"id":"https://openalex.org/W7140223640","doi":"https://doi.org/10.1016/j.procs.2026.03.011","title":"Automated Analysis of Emotions in News Texts","display_name":"Automated Analysis of Emotions in News Texts","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140223640","doi":"https://doi.org/10.1016/j.procs.2026.03.011"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.03.011","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.011","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.03.011","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Maria Nisheva-Pavlova","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maria Nisheva-Pavlova","raw_affiliation_strings":["Faculty of Mathematics and Informatics \u2013 Sofia University \u201cSt. Kliemt Ohridski\u201d, 5 James Bourchier Blvd., Sofia 1164, Bulgaria","Institute of Mathematics and Informatics \u2013 Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Block 8, Sofia 1113, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Informatics \u2013 Sofia University \u201cSt. Kliemt Ohridski\u201d, 5 James Bourchier Blvd., Sofia 1164, Bulgaria","institution_ids":[]},{"raw_affiliation_string":"Institute of Mathematics and Informatics \u2013 Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Block 8, Sofia 1113, Bulgaria","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Kristian Atanasov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kristian Atanasov","raw_affiliation_strings":["Faculty of Mathematics and Informatics \u2013 Sofia University \u201cSt. Kliemt Ohridski\u201d, 5 James Bourchier Blvd., Sofia 1164, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Informatics \u2013 Sofia University \u201cSt. Kliemt Ohridski\u201d, 5 James Bourchier Blvd., Sofia 1164, Bulgaria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":0.63584455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"442","last_page":"449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7458999752998352,"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":0.7458999752998352,"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/T12488","display_name":"Mental Health via Writing","score":0.03290000185370445,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.029100000858306885,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.705299973487854},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6797999739646912},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6035000085830688},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.41659998893737793},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.3774999976158142},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35910001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8934000134468079},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.705299973487854},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6797999739646912},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6035000085830688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084999799728394},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.476500004529953},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32910001277923584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2962000072002411},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.03.011","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.011","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.03.011","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.011","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2084046180","https://openalex.org/W3212554192","https://openalex.org/W4293261951","https://openalex.org/W4303422666","https://openalex.org/W4316037621","https://openalex.org/W4386800155","https://openalex.org/W4391808171"],"related_works":[],"abstract_inverted_index":{"The":[0,33,57,72],"paper":[1],"discusses":[2],"some":[3],"pilot":[4],"results":[5,74],"of":[6,30,85,97],"a":[7,12,27],"research":[8],"aimed":[9],"at":[10],"creating":[11],"model":[13,35,58,78],"for":[14],"emotion":[15,55,70],"analysis":[16],"in":[17,54,69,100],"news":[18,86],"texts":[19,87],"that":[20,76],"can":[21,79,89],"identify":[22],"and":[23,40,62,67,88],"categorize":[24],"emotions":[25],"into":[26],"wide":[28],"set":[29],"predefined":[31],"categories.":[32],"developed":[34],"combines":[36],"convolutional":[37],"neural":[38],"networks":[39],"long":[41],"short-term":[42],"memory":[43],"networks,":[44],"supported":[45],"with":[46],"an":[47,101],"attention":[48],"mechanism,":[49],"to":[50,93],"achieve":[51],"high":[52,65],"accuracy":[53,66],"analysis.":[56],"has":[59],"been":[60],"trained":[61],"validated,":[63],"showing":[64],"efficiency":[68],"classification.":[71],"experimental":[73],"demonstrate":[75],"our":[77],"reliably":[80],"predict":[81,94],"the":[82,95],"emotional":[83],"content":[84],"also":[90],"be":[91],"used":[92],"impact":[96],"news,":[98],"presented":[99],"appropriately":[102],"emotionally":[103],"intensive":[104],"manner,":[105],"on":[106],"public":[107],"opinion.":[108]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
