{"id":"https://openalex.org/W4283764816","doi":"https://doi.org/10.1007/s00500-022-07267-6","title":"Multi-channel word embeddings for sentiment analysis","display_name":"Multi-channel word embeddings for sentiment analysis","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4283764816","doi":"https://doi.org/10.1007/s00500-022-07267-6"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-022-07267-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-022-07267-6","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-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/A5090005360","display_name":"Jhe-Wei Lin","orcid":"https://orcid.org/0000-0002-7922-6269"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jhe-Wei Lin","raw_affiliation_strings":["Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108892665","display_name":"Tran Duy Thanh","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tran Duy Thanh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102085640","display_name":"Rong\u2010Guey Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rong-Guey Chang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090005360"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.2414,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82671114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":"22","first_page":"12703","last_page":"12715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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":0.8300178050994873},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7058141231536865},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6932870149612427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6870293021202087},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6421200037002563},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.598734974861145},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5932928919792175},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5067933201789856},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45854711532592773},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4523800015449524},{"id":"https://openalex.org/keywords/slang","display_name":"Slang","score":0.4305635094642639},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3600391447544098},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3253432512283325},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.10266542434692383},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09520512819290161}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8300178050994873},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7058141231536865},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6932870149612427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870293021202087},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6421200037002563},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.598734974861145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5932928919792175},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5067933201789856},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45854711532592773},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4523800015449524},{"id":"https://openalex.org/C2779901982","wikidata":"https://www.wikidata.org/wiki/Q8102","display_name":"Slang","level":2,"score":0.4305635094642639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3600391447544098},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3253432512283325},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.10266542434692383},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09520512819290161},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-022-07267-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-022-07267-6","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1499253590","https://openalex.org/W1502957213","https://openalex.org/W1732222442","https://openalex.org/W1923211482","https://openalex.org/W1972085588","https://openalex.org/W1980867644","https://openalex.org/W2049434052","https://openalex.org/W2053968437","https://openalex.org/W2064675550","https://openalex.org/W2104210067","https://openalex.org/W2107878631","https://openalex.org/W2120615054","https://openalex.org/W2131876387","https://openalex.org/W2134731454","https://openalex.org/W2148437670","https://openalex.org/W2155328222","https://openalex.org/W2158997610","https://openalex.org/W2166706824","https://openalex.org/W2234895705","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2251008987","https://openalex.org/W2251771443","https://openalex.org/W2260776682","https://openalex.org/W2262907013","https://openalex.org/W2290827644","https://openalex.org/W2402268235","https://openalex.org/W2514588627","https://openalex.org/W2562607067","https://openalex.org/W2612769033","https://openalex.org/W2758506174","https://openalex.org/W2767608965","https://openalex.org/W2916132663","https://openalex.org/W2942627697","https://openalex.org/W2962739339","https://openalex.org/W2963477629","https://openalex.org/W2963608065","https://openalex.org/W2963626623","https://openalex.org/W2964331270","https://openalex.org/W3099884890","https://openalex.org/W4205184193","https://openalex.org/W6632455782"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W3186997021","https://openalex.org/W2997097677","https://openalex.org/W4308088897","https://openalex.org/W4200618314","https://openalex.org/W2771357047","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
