{"id":"https://openalex.org/W2902318025","doi":"https://doi.org/10.1109/icpr.2018.8545331","title":"Introduce More Characteristics of Samples into Cross-domain Sentiment Classification","display_name":"Introduce More Characteristics of Samples into Cross-domain Sentiment Classification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902318025","doi":"https://doi.org/10.1109/icpr.2018.8545331","mag":"2902318025"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5043396908","display_name":"Wangwang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangwang Liu","raw_affiliation_strings":["Shenzhen University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037794437","display_name":"Xianghua Fu","orcid":"https://orcid.org/0000-0003-4431-3386"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Fu","raw_affiliation_strings":["Shenzhen University, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"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":"17","issue":null,"first_page":"25","last_page":"30"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.998199999332428,"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":0.9951000213623047,"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":0.7845157980918884},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7816553115844727},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7097555994987488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769071817398071},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6545288562774658},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.545440137386322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.511721134185791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49144279956817627},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.4565855860710144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44820454716682434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3442367613315582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1508592665195465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7845157980918884},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7816553115844727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7097555994987488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769071817398071},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6545288562774658},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.545440137386322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.511721134185791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49144279956817627},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4565855860710144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44820454716682434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3442367613315582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1508592665195465},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1731081199","https://openalex.org/W1832693441","https://openalex.org/W2038190934","https://openalex.org/W2050259610","https://openalex.org/W2096873754","https://openalex.org/W2101129167","https://openalex.org/W2110798204","https://openalex.org/W2118585731","https://openalex.org/W2131953535","https://openalex.org/W2153353890","https://openalex.org/W2158108973","https://openalex.org/W2159291411","https://openalex.org/W2159570078","https://openalex.org/W2163302275","https://openalex.org/W2166706824","https://openalex.org/W2210303234","https://openalex.org/W2250966211","https://openalex.org/W2313798630","https://openalex.org/W2515059321","https://openalex.org/W2741989495","https://openalex.org/W2771358947","https://openalex.org/W2998115938","https://openalex.org/W6600949241","https://openalex.org/W6637618735","https://openalex.org/W6674764686","https://openalex.org/W6676481782","https://openalex.org/W6677656871","https://openalex.org/W6683633756","https://openalex.org/W6684149856"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3204418343","https://openalex.org/W4300172004"],"abstract_inverted_index":{"Because":[0],"of":[1,33,42,52,59,98,107],"the":[2,7,34,49,57,121,132,146,153],"discrepancy":[3],"between":[4],"different":[5,53],"domains,":[6],"sentiment":[8,176],"classifier":[9,82],"trained":[10],"in":[11,20,166],"a":[12,17,21,67,80],"source":[13],"domain":[14,81,169],"can't":[15],"get":[16],"good":[18],"performance":[19],"target":[22,108,114],"domain.":[23],"Domain":[24],"adaptation":[25,170],"algorithms":[26,36],"aim":[27,37],"at":[28,38],"solving":[29],"such":[30],"problems.":[31],"One":[32],"main":[35],"finding":[39],"domain-invariable":[40,85],"representations":[41],"inputs,":[43],"which":[44],"pays":[45],"more":[46,104],"attention":[47],"to":[48,83,92,95,102,120,126,158,174],"common":[50],"features":[51],"domains":[54],"and":[55,116,129],"ignores":[56],"characteristics":[58,97],"samples":[60,115],"themselves.":[61],"In":[62,100],"our":[63,142,161],"paper,":[64],"we":[65,110],"propose":[66],"Fuzziness":[68],"Based":[69],"Domain-Adversarial":[70],"Neural":[71],"Network":[72],"with":[73,152],"Auto-Encoder":[74],"(Fuzzy-DAAE).":[75],"It":[76],"not":[77,172],"only":[78],"uses":[79,89],"find":[84],"features,":[86],"but":[87],"also":[88,111],"an":[90],"auto-encoder":[91],"reconstruct":[93],"inputs":[94],"keep":[96],"samples.":[99],"order":[101],"introduce":[103],"supervised":[105],"information":[106],"samples,":[109],"add":[112],"unlabeled":[113],"their":[117,127],"predicted":[118],"labels":[119],"original":[122],"training":[123],"data":[124],"according":[125],"fuzziness":[128],"then":[130],"retrain":[131],"whole":[133],"model.":[134],"Experiments":[135],"on":[136],"Amazon":[137],"product":[138],"reviews":[139],"show":[140],"that":[141,160],"proposed":[143],"model":[144,162],"has":[145],"best":[147],"or":[148],"comparative":[149],"results":[150],"compared":[151],"existing":[154],"models.":[155],"It's":[156],"worthwhile":[157],"notice":[159],"can":[163],"be":[164],"used":[165],"any":[167],"other":[168],"tasks,":[171],"limited":[173],"cross-domain":[175],"classification.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
