{"id":"https://openalex.org/W4411638700","doi":"https://doi.org/10.18653/v1/2024.eacl-srw.28","title":"Toward Sentiment Aware Semantic Change Analysis","display_name":"Toward Sentiment Aware Semantic Change Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4411638700","doi":"https://doi.org/10.18653/v1/2024.eacl-srw.28"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.eacl-srw.28","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-srw.28","pdf_url":"https://aclanthology.org/2024.eacl-srw.28.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.eacl-srw.28.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118628322","display_name":"Roksana Goworek","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Roksana Goworek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013663289","display_name":"Haim Dubossarsky","orcid":"https://orcid.org/0000-0002-2818-6113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haim Dubossarsky","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118628322"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26548833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586991786956787},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.678253710269928},{"id":"https://openalex.org/keywords/semantic-change","display_name":"Semantic change","score":0.6169964671134949},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.49338021874427795},{"id":"https://openalex.org/keywords/change-analysis","display_name":"Change analysis","score":0.4892270565032959},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47319409251213074},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4284517467021942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36390337347984314},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06163850426673889}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586991786956787},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.678253710269928},{"id":"https://openalex.org/C36391188","wikidata":"https://www.wikidata.org/wiki/Q1939117","display_name":"Semantic change","level":2,"score":0.6169964671134949},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.49338021874427795},{"id":"https://openalex.org/C2989469682","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Change analysis","level":2,"score":0.4892270565032959},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47319409251213074},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4284517467021942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390337347984314},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06163850426673889},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.eacl-srw.28","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-srw.28","pdf_url":"https://aclanthology.org/2024.eacl-srw.28.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.eacl-srw.28","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-srw.28","pdf_url":"https://aclanthology.org/2024.eacl-srw.28.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411638700.pdf","grobid_xml":"https://content.openalex.org/works/W4411638700.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4387713675","https://openalex.org/W4235488275","https://openalex.org/W2903379275","https://openalex.org/W4366961134","https://openalex.org/W2579156435","https://openalex.org/W4392201942","https://openalex.org/W2944989610","https://openalex.org/W4285060178","https://openalex.org/W4405393631","https://openalex.org/W1977199011"],"abstract_inverted_index":{"This":[0],"student":[1,161],"paper":[2,162],"explores":[3],"the":[4,17,23,37,93,97,112,127],"potential":[5],"of":[6,10,19,26,39,81,96,107,119,130,144,157,175],"augmenting":[7],"computational":[8],"models":[9,46,80,118],"semantic":[11,61,82,120,181],"change":[12,62,67,83,109,121,176,182],"with":[13,122],"sentiment":[14,49,66,76,153],"information.It":[15,124],"tests":[16],"efficacy":[18],"this":[20,90,151,160],"approach":[21,41],"on":[22],"English":[24],"SemEval":[25],"Lexical":[27],"Semantic":[28],"Change":[29],"and":[30,54,87,177],"its":[31],"associated":[32],"historical":[33,52],"corpora.We":[34],"first":[35,113],"establish":[36],"feasibility":[38],"our":[40,105],"by":[42,110],"demonstrating":[43],"that":[44,57,59,133],"existing":[45],"extract":[47],"reliable":[48],"information":[50,77,174],"from":[51],"corpora,":[53],"then":[55,74],"validate":[56],"words":[58],"underwent":[60],"also":[63],"show":[64],"greater":[65],"in":[68,169],"comparison":[69],"to":[70,104,115,139,150],"historically":[71],"stable":[72],"words.We":[73],"integrate":[75],"into":[78,126],"standard":[79,117],"for":[84,166,179],"individual":[85],"words,":[86],"test":[88],"if":[89],"can":[91],"improve":[92],"overall":[94],"performance":[95],"latter,":[98],"showing":[99],"mixed":[100],"results.This":[101],"research":[102],"contributes":[103],"understanding":[106],"language":[108,131],"providing":[111],"attempt":[114],"enrich":[116],"additional":[123,148],"taps":[125],"multifaceted":[128],"nature":[129],"change,":[132,145,152],"should":[134],"not":[135],"be":[136],"reduced":[137],"only":[138,155],"binary":[140],"or":[141],"scalar":[142],"report":[143],"but":[146],"adds":[147],"dimensions":[149],"being":[154],"one":[156],"these.As":[158],"such,":[159],"suggests":[163],"novel":[164],"directions":[165],"future":[167],"work":[168],"integrating":[170],"additional,":[171],"more":[172],"nuanced":[173],"interpretation":[178],"finergrained":[180],"analysis.":[183]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
