{"id":"https://openalex.org/W2761989477","doi":"https://doi.org/10.1145/3133264.3133305","title":"Aspects Opinion Mining Based on Word Embedding and Dependency Parsing","display_name":"Aspects Opinion Mining Based on Word Embedding and Dependency Parsing","publication_year":2017,"publication_date":"2017-08-25","ids":{"openalex":"https://openalex.org/W2761989477","doi":"https://doi.org/10.1145/3133264.3133305","mag":"2761989477"},"language":"en","primary_location":{"id":"doi:10.1145/3133264.3133305","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133264.3133305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Image Processing","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/A5021486986","display_name":"Shuting Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuting Zhi","raw_affiliation_strings":["School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055608569","display_name":"Xiaoge Li","orcid":"https://orcid.org/0009-0001-6986-7273"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoge Li","raw_affiliation_strings":["School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797938","display_name":"Jinan Zhang","orcid":"https://orcid.org/0000-0001-6545-380X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinan Zhang","raw_affiliation_strings":["Shaanxi Information Center, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Information Center, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109099058","display_name":"Xian Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Fan","raw_affiliation_strings":["School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108226071","display_name":"Liping Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Du","raw_affiliation_strings":["School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China and Goodwill Information Technology Co. Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Xi'an, University of Posts and Telecommunications, Xi'an, China and Goodwill Information Technology Co. Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773638","display_name":"Zhongyang Li","orcid":"https://orcid.org/0000-0002-6168-4448"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhongyang Li","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021486986"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76153397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"215"},"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":0.9932000041007996,"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":0.9861999750137329,"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":0.8290851712226868},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.8034260869026184},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7730275392532349},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7695274353027344},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7594493627548218},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.7226200699806213},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7145852446556091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7042451500892639},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6514161229133606},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6309487819671631},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5034474730491638},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42273828387260437},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42154601216316223},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14692914485931396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290851712226868},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.8034260869026184},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7730275392532349},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7695274353027344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7594493627548218},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.7226200699806213},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7145852446556091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042451500892639},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6514161229133606},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6309487819671631},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5034474730491638},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42273828387260437},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42154601216316223},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14692914485931396},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3133264.3133305","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133264.3133305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"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":21,"referenced_works":["https://openalex.org/W100623710","https://openalex.org/W179875071","https://openalex.org/W319996907","https://openalex.org/W1508001288","https://openalex.org/W1554540371","https://openalex.org/W1581485226","https://openalex.org/W1809157163","https://openalex.org/W1965435478","https://openalex.org/W1965584761","https://openalex.org/W2011286186","https://openalex.org/W2019759670","https://openalex.org/W2049493498","https://openalex.org/W2119754473","https://openalex.org/W2137207778","https://openalex.org/W2141599568","https://openalex.org/W2148506018","https://openalex.org/W2160660844","https://openalex.org/W2170500434","https://openalex.org/W2548454029","https://openalex.org/W4205184193","https://openalex.org/W6602714684"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2888625260","https://openalex.org/W3035970863","https://openalex.org/W4288558800","https://openalex.org/W2250525544"],"abstract_inverted_index":{"Aspects":[0],"opinion":[1,24],"mining":[2,25],"is":[3],"one":[4],"of":[5,13,22,72,79,86,94,104,115],"the":[6,11,52,63,91,110],"most":[7],"important":[8],"issues":[9],"in":[10],"field":[12],"Natural":[14],"Language":[15],"Processing.":[16],"This":[17],"paper":[18],"proposes":[19],"an":[20],"algorithm":[21,117],"aspects":[23,80],"by":[26,43],"combining":[27],"word":[28,35,44],"embedding":[29,36],"and":[30,37,40,65,68,89,113,122],"dependency":[31,48],"parsing.":[32],"Firstly,":[33],"training":[34],"constructing":[38],"sentiment":[39,64],"aspect":[41,66],"lexicon":[42],"embedding.":[45],"Secondly,":[46],"using":[47,75],"parser":[49],"to":[50,62,81,119],"discover":[51,82],"phrases":[53,60],"that":[54,109],"have":[55],"dependencies.":[56],"Thirdly,":[57],"filtering":[58],"these":[59,76],"according":[61],"lexicon,":[67],"obtaining":[69],"language":[70,77],"patterns":[71,78],"aspects.":[73],"Lastly,":[74],"all":[83],"emotion":[84],"words":[85],"every":[87,95],"aspect,":[88],"computing":[90],"sentimental":[92],"orientation":[93],"aspect.":[96],"The":[97],"experimental":[98],"results":[99],"on":[100],"a":[101,105],"reviews":[102],"corpus":[103],"video":[106],"software":[107],"show":[108],"precision,":[111],"recall":[112],"F-score":[114],"our":[116],"achieves":[118],"73.17%,":[120],"76.60%,":[121],"74.85%":[123],"respectively.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}