{"id":"https://openalex.org/W2918504843","doi":"https://doi.org/10.1145/3297156.3297228","title":"Sentiment Analysis Based on Weighted Word2vec and Att-LSTM","display_name":"Sentiment Analysis Based on Weighted Word2vec and Att-LSTM","publication_year":2018,"publication_date":"2018-12-08","ids":{"openalex":"https://openalex.org/W2918504843","doi":"https://doi.org/10.1145/3297156.3297228","mag":"2918504843"},"language":"en","primary_location":{"id":"doi:10.1145/3297156.3297228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297228","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science 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":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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/A5073737476","display_name":"Huanhuan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanhuan Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633735","display_name":"Yongli Wang","orcid":"https://orcid.org/0000-0003-2219-067X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103839381","display_name":"Xia Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Feng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056339907","display_name":"Shurong Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shurong Sun","raw_affiliation_strings":["Zhenjiang Analysis InfoTech Ltd, Zhenjiang"],"affiliations":[{"raw_affiliation_string":"Zhenjiang Analysis InfoTech Ltd, Zhenjiang","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073737476"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.5392,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76402244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"21","issue":null,"first_page":"420","last_page":"424"},"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":0.996399998664856,"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":0.9330481290817261},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8277028799057007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675477862358093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6870905756950378},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6382975578308105},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.625785231590271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5616675615310669},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5152187943458557},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48209646344184875},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47830015420913696},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4205491542816162},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3998015820980072},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29949063062667847},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1978500485420227},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15006095170974731}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9330481290817261},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8277028799057007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675477862358093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870905756950378},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6382975578308105},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.625785231590271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5616675615310669},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5152187943458557},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48209646344184875},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47830015420913696},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4205491542816162},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3998015820980072},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29949063062667847},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1978500485420227},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15006095170974731},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297156.3297228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297228","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science 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":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W1502964459","https://openalex.org/W1544827683","https://openalex.org/W2039747753","https://openalex.org/W2118463056","https://openalex.org/W2131462252","https://openalex.org/W2133564696","https://openalex.org/W2147527908","https://openalex.org/W2166706824","https://openalex.org/W2168625136","https://openalex.org/W2950577311","https://openalex.org/W2962965405","https://openalex.org/W2998704965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2595988085","https://openalex.org/W2979979539","https://openalex.org/W4323310348","https://openalex.org/W2539163683","https://openalex.org/W3214477747","https://openalex.org/W3127425528","https://openalex.org/W4313549251","https://openalex.org/W4312833533","https://openalex.org/W4211165872"],"abstract_inverted_index":{"The":[0,11,61],"Internet":[1,19],"has":[2,20],"become":[3,22],"an":[4],"indispensable":[5],"part":[6],"of":[7,14,31,113],"modern":[8],"people's":[9],"lives.":[10],"sentiment":[12,29,75,96],"analysis":[13,30,97],"text":[15],"generated":[16],"by":[17],"the":[18,28,36,103,111,116,122,126,130,140],"gradually":[21],"a":[23,48],"research":[24,63],"hot":[25],"spot.":[26],"Through":[27],"texts,":[32],"information":[33],"such":[34,82],"as":[35,83],"public's":[37],"emotional":[38,107],"status,":[39],"views":[40],"on":[41,67,98,105],"some":[42],"social":[43,59],"phenomena,":[44],"and":[45,58,89,109],"preferences":[46],"for":[47],"product":[49],"can":[50],"be":[51],"obtained.":[52],"It":[53],"contributes":[54],"to":[55,73,94,129],"commercial":[56],"value":[57],"stability.":[60],"common":[62],"methods":[64,92],"are":[65,93],"based":[66],"traditional":[68,146],"machine":[69,79,147],"learning":[70,80,148],"algorithms.":[71],"According":[72],"hand-labeled":[74],"lexicons,":[76],"we":[77],"use":[78],"algorithms":[81],"naive":[84],"Bayes,":[85],"support":[86],"vector":[87],"machines,":[88],"maximum":[90],"entropy":[91],"perform":[95],"textual":[99],"information.":[100],"To":[101],"reduce":[102],"dependence":[104],"hand-built":[106],"dictionary":[108],"highlight":[110],"role":[112],"keywords":[114],"in":[115],"review":[117],"text,":[118],"this":[119],"paper":[120],"proposes":[121],"weighted":[123],"word2vec,":[124],"adds":[125],"Attention":[127],"mechanism":[128],"Long-Short":[131],"Term":[132],"Memory":[133],"(LSTM)":[134],"model.":[135],"Experiment":[136],"result":[137],"shows":[138],"that":[139],"method":[141],"is":[142],"significantly":[143],"better":[144],"than":[145],"methods.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}