{"id":"https://openalex.org/W4391149278","doi":"https://doi.org/10.1109/ictc58733.2023.10392730","title":"Deep Learning-Based Event Prediction for Text Analysis","display_name":"Deep Learning-Based Event Prediction for Text Analysis","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4391149278","doi":"https://doi.org/10.1109/ictc58733.2023.10392730"},"language":"en","primary_location":{"id":"doi:10.1109/ictc58733.2023.10392730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc58733.2023.10392730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5013537370","display_name":"Muhammad Waseem","orcid":"https://orcid.org/0000-0001-7488-2577"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muhammad Waseem","raw_affiliation_strings":["Beijing Institute of Technology,School of Computer Science and Technology,Beijing,China","School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076497507","display_name":"Qasim Umer","orcid":"https://orcid.org/0000-0002-0237-3025"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Qasim Umer","raw_affiliation_strings":["Hanyang University,Department of Computer Science,Seoul,South Korea","Department of Computer Science, Hanyang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Department of Computer Science,Seoul,South Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Department of Computer Science, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015785399","display_name":"Choonhwa Lee","orcid":"https://orcid.org/0000-0002-6564-2392"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choonhwa Lee","raw_affiliation_strings":["Hanyang University,Department of Computer Science,Seoul,South Korea","Department of Computer Science, Hanyang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Department of Computer Science,Seoul,South Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Department of Computer Science, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074234197","display_name":"Sungwook Chung","orcid":"https://orcid.org/0000-0002-0108-4889"},"institutions":[{"id":"https://openalex.org/I174101054","display_name":"Changwon National University","ror":"https://ror.org/04ts4qa58","country_code":"KR","type":"education","lineage":["https://openalex.org/I174101054"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungwook Chung","raw_affiliation_strings":["Changwon University,Department of Computer Engineering,Changwon,South Korea","Department of Computer Engineering, Changwon University, Changwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Changwon University,Department of Computer Engineering,Changwon,South Korea","institution_ids":["https://openalex.org/I174101054"]},{"raw_affiliation_string":"Department of Computer Engineering, Changwon University, Changwon, South Korea","institution_ids":["https://openalex.org/I174101054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001348793","display_name":"Zohaib Latif","orcid":"https://orcid.org/0000-0002-5373-8063"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Zohaib Latif","raw_affiliation_strings":["Nazarbayev University,Department of Computer Science,Astana,Kazakhstan","Department of Computer Science, Nazarbayev University, Astana, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Nazarbayev University,Department of Computer Science,Astana,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"Department of Computer Science, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013537370"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67940141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.8007633686065674},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7358324527740479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7069278955459595},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6566244959831238},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6219688057899475},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5021677017211914},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4852614104747772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4439653158187866},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.4438348710536957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007633686065674},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7358324527740479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7069278955459595},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6566244959831238},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6219688057899475},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5021677017211914},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4852614104747772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4439653158187866},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.4438348710536957},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1109/ictc58733.2023.10392730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc58733.2023.10392730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1490960179","https://openalex.org/W1525961042","https://openalex.org/W1614298861","https://openalex.org/W2064675550","https://openalex.org/W2068882115","https://openalex.org/W2123661878","https://openalex.org/W2145374219","https://openalex.org/W2147152072","https://openalex.org/W2158794898","https://openalex.org/W2250506749","https://openalex.org/W2257051837","https://openalex.org/W2335559472","https://openalex.org/W2593847145","https://openalex.org/W2601748485","https://openalex.org/W2604764001","https://openalex.org/W2758362814","https://openalex.org/W2904617336","https://openalex.org/W2963498218","https://openalex.org/W2977481105","https://openalex.org/W4237040408","https://openalex.org/W4289548274","https://openalex.org/W4293547730","https://openalex.org/W4294170691","https://openalex.org/W6637401786","https://openalex.org/W6682203012","https://openalex.org/W6682691769","https://openalex.org/W6683985738","https://openalex.org/W6691414664"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2348886128","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2388067091"],"abstract_inverted_index":{"This":[0,80],"paper":[1],"addresses":[2],"automatic":[3],"event":[4,10,86],"prediction":[5],"from":[6],"unstructured":[7],"text,":[8,55],"specifically":[9],"chains.":[11],"While":[12],"current":[13],"approaches":[14],"employ":[15],"LSTM":[16],"for":[17,85],"encoding":[18],"full":[19],"chains,":[20],"learning":[21,26],"long-range":[22,30],"narrative":[23,31],"orders,":[24,32],"or":[25],"partial":[27],"orders":[28],"and":[29,68],"none":[33],"of":[34],"them":[35,70],"consider":[36],"writer":[37,50],"sentiment.":[38,51,95],"To":[39],"address":[40],"this,":[41],"we":[42],"propose":[43],"a":[44,76],"deep":[45,77],"learning-based":[46,78],"approach":[47,101],"that":[48,99],"incorporates":[49],"We":[52],"pre-process":[53],"the":[54],"extract":[56],"events,":[57],"compute":[58],"sentiment":[59,73],"scores":[60,74],"using":[61],"SentiWordNet,":[62],"convert":[63],"events":[64],"to":[65],"digital":[66],"vectors,":[67],"feed":[69],"along":[71],"with":[72,89,106],"into":[75],"classifier.":[79],"classifier":[81],"uses":[82],"hidden":[83],"states":[84],"pair":[87,91],"modeling,":[88],"each":[90],"having":[92],"its":[93],"associated":[94],"Evaluation":[96],"results":[97],"show":[98],"our":[100],"significantly":[102],"surpasses":[103],"state-of-the-art":[104],"methods":[105],"29.2%":[107],"accuracy.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
