{"id":"https://openalex.org/W4396888495","doi":"https://doi.org/10.1145/3641067.3641075","title":"Leveraging rule-based model and machine learning transformer for mining aspect-based financial opinions in colloquial language","display_name":"Leveraging rule-based model and machine learning transformer for mining aspect-based financial opinions in colloquial language","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4396888495","doi":"https://doi.org/10.1145/3641067.3641075"},"language":"en","primary_location":{"id":"doi:10.1145/3641067.3641075","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641067.3641075","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641067.3641075","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Software and e-Business","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3641067.3641075","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020836652","display_name":"C. Chu","orcid":"https://orcid.org/0000-0002-6244-936X"},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"HK","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Carlin Chun-Fai Chu","raw_affiliation_strings":["Computer Science, The Hang Seng University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6244-936X","affiliations":[{"raw_affiliation_string":"Computer Science, The Hang Seng University of Hong Kong, China","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066570817","display_name":"Raymond So","orcid":"https://orcid.org/0000-0003-4336-7921"},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"HK","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Raymond So","raw_affiliation_strings":["Big Data Intelligence Centre, The Hang Seng University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4336-7921","affiliations":[{"raw_affiliation_string":"Big Data Intelligence Centre, The Hang Seng University of Hong Kong, China","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092765891","display_name":"Ernest Kan-Lam Kwong","orcid":"https://orcid.org/0009-0001-4126-7364"},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"HK","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ernest Kan-Lam Kwong","raw_affiliation_strings":["Big Data Intelligence Centre, The Hang Seng University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0001-4126-7364","affiliations":[{"raw_affiliation_string":"Big Data Intelligence Centre, The Hang Seng University of Hong Kong, China","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061438515","display_name":"Andy Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andy Chan","raw_affiliation_strings":["IDDY Ltd, China"],"raw_orcid":"https://orcid.org/0009-0004-5683-217X","affiliations":[{"raw_affiliation_string":"IDDY Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27157841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979927062988281},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6952412724494934},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5430738925933838},{"id":"https://openalex.org/keywords/jargon","display_name":"Jargon","score":0.539182722568512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5307775735855103},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5129875540733337},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5036198496818542},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5010528564453125},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45565107464790344},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.43879038095474243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3295741677284241},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12187108397483826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11355039477348328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979927062988281},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6952412724494934},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5430738925933838},{"id":"https://openalex.org/C2777611551","wikidata":"https://www.wikidata.org/wiki/Q17951","display_name":"Jargon","level":2,"score":0.539182722568512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5307775735855103},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5129875540733337},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5036198496818542},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5010528564453125},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45565107464790344},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.43879038095474243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3295741677284241},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12187108397483826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11355039477348328},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641067.3641075","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641067.3641075","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641067.3641075","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Software and e-Business","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3641067.3641075","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641067.3641075","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641067.3641075","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Software and e-Business","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G673397365","display_name":null,"funder_award_id":"RMGS700029","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G73189762","display_name":null,"funder_award_id":"SDSC-SRG010","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320316545","display_name":"San Diego Supercomputer Center","ror":"https://ror.org/04mg3nk07"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396888495.pdf","grobid_xml":"https://content.openalex.org/works/W4396888495.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W43249347","https://openalex.org/W2084046180","https://openalex.org/W2215376118","https://openalex.org/W2243366343","https://openalex.org/W2293665115","https://openalex.org/W2296071000","https://openalex.org/W2337835951","https://openalex.org/W2345493290","https://openalex.org/W2427312199","https://openalex.org/W2515298219","https://openalex.org/W2548006041","https://openalex.org/W2739677115","https://openalex.org/W2746308373","https://openalex.org/W2790777705","https://openalex.org/W2791271870","https://openalex.org/W2921600946","https://openalex.org/W2953751391","https://openalex.org/W2962989446","https://openalex.org/W2974280409","https://openalex.org/W2987294427","https://openalex.org/W3000344024","https://openalex.org/W3011965640","https://openalex.org/W3167136668","https://openalex.org/W3173777717","https://openalex.org/W3192030911","https://openalex.org/W3196474414","https://openalex.org/W4200238055","https://openalex.org/W4205256657","https://openalex.org/W4292621704","https://openalex.org/W6641374425"],"related_works":["https://openalex.org/W3040422808","https://openalex.org/W4317528635","https://openalex.org/W2499956125","https://openalex.org/W2553927761","https://openalex.org/W2501778858","https://openalex.org/W2485612408","https://openalex.org/W3128124465","https://openalex.org/W235416042","https://openalex.org/W4387517132","https://openalex.org/W172139871"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,93,138],"practical":[4,94],"approach":[5],"to":[6,20,30],"develop":[7],"an":[8,52],"aspect-based":[9],"opinion":[10],"mining":[11],"system":[12,85,136],"for":[13,57,141],"low-resource":[15],"language.":[16,47],"Our":[17,100],"design":[18],"aims":[19],"harness":[21],"the":[22,62,68,71,112],"strengths":[23],"of":[24,70,114],"rule-based":[25,49],"model":[26,29,50,64],"and":[27,54,116,126],"transformer-based":[28,63,129],"accurately":[31],"extract":[32],"fine":[33,143],"grained":[34,144],"named":[35],"entity":[36],"relationship":[37],"pairs":[38,60,72],"from":[39,133,147],"discussion":[40,106],"board":[41,107],"messages":[42],"written":[43],"in":[44],"colloquial":[45,148],"Cantonese":[46,149],"The":[48,83,131],"provides":[51],"effective":[53],"low-computational-resource":[55],"method":[56,77,97],"identifying":[58],"candidate":[59],"while":[61],"will":[65],"further":[66],"examine":[67],"validity":[69],"using":[73,123],"natural":[74],"language":[75],"inference":[76],"with":[78,92,111],"custom-made":[79],"data":[80,88,95,102],"modelling":[81,89],"structures.":[82],"overall":[84],"architecture,":[86],"proposed":[87],"structures":[90],"together":[91],"annotation":[96],"are":[98,109],"addressed.":[99],"empirical":[101],"reflects":[103],"that":[104],"most":[105],"opinions":[108,146],"expressed":[110],"use":[113],"jargon":[115],"alias":[117],"which":[118],"cannot":[119],"be":[120],"handled":[121],"by":[122],"typical":[124],"lexicon":[125],"off-the-shelf":[127],"pre-trained":[128],"model.":[130],"result":[132],"our":[134],"prototype":[135],"demonstrates":[137],"satisfactory":[139],"performance":[140],"extracting":[142],"financial":[145],"commentaries.":[150]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
