{"id":"https://openalex.org/W4214768212","doi":"https://doi.org/10.1145/3508546.3508636","title":"Sentiment Analysis of MicroBlog Comments Based on Multi-feature Fusion","display_name":"Sentiment Analysis of MicroBlog Comments Based on Multi-feature Fusion","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4214768212","doi":"https://doi.org/10.1145/3508546.3508636"},"language":"en","primary_location":{"id":"doi:10.1145/3508546.3508636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508546.3508636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608505","display_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100420755","display_name":"Le Chen","orcid":"https://orcid.org/0000-0003-3789-2578"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi Minzu University","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Chen","raw_affiliation_strings":["College of Artificial Intelligence, Guangxi University for Nationalities, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Guangxi University for Nationalities, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085147432","display_name":"Yong Huang","orcid":"https://orcid.org/0000-0001-5756-9677"},"institutions":[{"id":"https://openalex.org/I4210112430","display_name":"Guangxi Zhuang Autonomous Region Health and Family Planning","ror":"https://ror.org/022z3g211","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210112430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Huang","raw_affiliation_strings":["Network Information Office of Guangxi Zhuang Autonomous Region Party Committee, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Information Office of Guangxi Zhuang Autonomous Region Party Committee, China","institution_ids":["https://openalex.org/I4210112430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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":0.9932000041007996,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9894999861717224,"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/word2vec","display_name":"Word2vec","score":0.8997461795806885},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.7687839269638062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7668429613113403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6971884965896606},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6024515628814697},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5875911712646484},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5554578304290771},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5409326553344727},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5251129269599915},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.521264374256134},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5003206729888916},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4561781585216522},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.43187758326530457},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4235232174396515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3906286358833313},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3525463044643402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12193894386291504},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08874690532684326},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07946005463600159}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8997461795806885},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.7687839269638062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668429613113403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6971884965896606},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6024515628814697},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5875911712646484},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5554578304290771},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5409326553344727},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5251129269599915},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.521264374256134},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5003206729888916},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4561781585216522},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.43187758326530457},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4235232174396515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3906286358833313},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3525463044643402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12193894386291504},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08874690532684326},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07946005463600159},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508546.3508636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508546.3508636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608505","display_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2008885231","https://openalex.org/W2144012961","https://openalex.org/W2148506018","https://openalex.org/W2166706824","https://openalex.org/W2252024663","https://openalex.org/W2493916176","https://openalex.org/W2514588627","https://openalex.org/W2531638282","https://openalex.org/W2979513396","https://openalex.org/W3002990385","https://openalex.org/W3005299068"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W2053241453","https://openalex.org/W1560851690","https://openalex.org/W1540611520","https://openalex.org/W3003606604","https://openalex.org/W2750967442","https://openalex.org/W3040974839","https://openalex.org/W2795129682","https://openalex.org/W2754876402","https://openalex.org/W2531705611"],"abstract_inverted_index":{"The":[0,126],"traditional":[1],"word":[2,39,48,139],"vector":[3],"model":[4,36,133],"based":[5],"on":[6,119],"context":[7],"cannot":[8],"effectively":[9],"extract":[10],"emotional":[11,90],"features":[12,44,50,59],"from":[13,52,61],"multi-category":[14,123],"online":[15],"comment":[16],"texts":[17],"with":[18,57,122,142],"short":[19],"length,":[20],"casual":[21],"grammar":[22],"and":[23,42,88,110,150,159],"a":[24,33],"large":[25],"number":[26],"of":[27,69,75,83,108,147,156],"emojis.":[28],"Aiming":[29],"at":[30],"the":[31,67,71,73,80,89,131,145,153],"above,":[32],"multi-feature":[34],"fusion":[35,109],"(WOOSD-CNN)":[37],"integrating":[38],"order,":[40],"semantics":[41],"dictionary":[43,101],"was":[45,86],"proposed.":[46],"Firstly,":[47],"order":[49],"obtained":[51,60],"Fasttext":[53],"training":[54],"were":[55,106,116],"fused":[56],"semantic":[58],"Word2vec":[62,143],"training.":[63],"Then,":[64],"according":[65],"to":[66,99,112],"characteristics":[68],"emojis,":[70],"higher":[72],"frequency":[74],"emojis":[76],"appearing":[77],"in":[78],"comments,":[79],"Universal":[81],"Frequency":[82],"Emojis":[84],"(EM-TDF)":[85],"introduced,":[87],"similarity":[91],"matrix":[92],"(ESV)":[93],"is":[94],"constructed":[95],"by":[96],"using":[97],"it":[98],"obtain":[100,135],"features.":[102],"Finally,":[103],"feature":[104],"vectors":[105],"spliced":[107],"applied":[111],"emotion":[113],"classification.":[114],"Experiments":[115],"carried":[117],"out":[118],"two":[120],"datasets":[121],"MicroBlog":[124],"comment.":[125],"experimental":[127],"results":[128],"show":[129],"that":[130],"proposed":[132],"can":[134],"relatively":[136],"accurate":[137],"sentiment":[138],"vector,":[140],"compared":[141],"model,":[144],"indicators":[146],"Acc,":[148],"Macro-F1":[149],"Weighted-F1":[151],"have":[152],"highest":[154],"improvement":[155],"7.62%,":[157],"6.25%":[158],"8.00%,":[160],"respectively.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}