{"id":"https://openalex.org/W2799072521","doi":"https://doi.org/10.1145/3184558.3186980","title":"SenHint","display_name":"SenHint","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799072521","doi":"https://doi.org/10.1145/3184558.3186980","mag":"2799072521"},"language":"en","primary_location":{"id":"doi:10.1145/3184558.3186980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3184558.3186980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","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/A5100388827","display_name":"Yanyan Wang","orcid":"https://orcid.org/0000-0003-0719-5536"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336667","display_name":"Qun Chen","orcid":"https://orcid.org/0000-0001-9556-755X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Chen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352215","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-3041-3717"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087283637","display_name":"Murtadha Ahmed","orcid":"https://orcid.org/0000-0002-0741-0710"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Murtadha Ahmed","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041615627","display_name":"Zhanhuai Li","orcid":"https://orcid.org/0009-0003-6936-5745"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhuai Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779383","display_name":"Wei Pan","orcid":"https://orcid.org/0000-0002-8623-2341"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Pan","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606445","display_name":"Hailong Liu","orcid":"https://orcid.org/0000-0003-2195-3380"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Liu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100388827"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75871793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"210"},"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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":0.9901999831199646,"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":0.8229660987854004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6955432295799255},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6905602812767029},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6688863635063171},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.622221052646637},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.600651204586029},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5801831483840942},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4840783178806305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47401055693626404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3334449529647827},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18090030550956726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229660987854004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6955432295799255},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6905602812767029},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6688863635063171},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.622221052646637},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.600651204586029},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5801831483840942},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4840783178806305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47401055693626404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3334449529647827},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18090030550956726},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3184558.3186980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3184558.3186980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W142730124","https://openalex.org/W1934084512","https://openalex.org/W1997945384","https://openalex.org/W2064675550","https://openalex.org/W2081210343","https://openalex.org/W2099813784","https://openalex.org/W2101108755","https://openalex.org/W2311110368","https://openalex.org/W2465978385","https://openalex.org/W2562607067"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2548633793","https://openalex.org/W2028665553","https://openalex.org/W2941935829","https://openalex.org/W2086519370"],"abstract_inverted_index":{"The":[0],"state-of-the-art":[1,147],"techniques":[2],"for":[3],"aspect-level":[4],"sentiment":[5,44,101],"analysis":[6],"focus":[7],"on":[8,81,127],"feature":[9],"modeling":[10],"using":[11],"a":[12,57,76],"variety":[13],"of":[14,26,32,53,65,72,125],"deep":[15,66],"neural":[16,67],"networks":[17,68],"(DNN).":[18],"Unfortunately,":[19],"their":[20],"practical":[21],"performance":[22,124],"may":[23],"fall":[24],"short":[25],"expectations":[27],"due":[28],"to":[29,96,112],"semantic":[30],"complexity":[31],"natural":[33],"languages.":[34],"Motivated":[35],"by":[36,106],"the":[37,63,70,123,146],"observation":[38],"that":[39,138],"linguistic":[40,73,88],"hints":[41,74,89],"(e.g.":[42],"explicit":[43],"words":[45],"and":[46,69,130],"shift":[47],"words)":[48],"can":[49,102,140],"be":[50,103],"strong":[51],"indicators":[52],"sentiment,":[54],"we":[55],"present":[56],"joint":[58],"framework,":[59],"SenHint,":[60,87],"which":[61],"integrates":[62],"output":[64],"implication":[71],"into":[75],"coherent":[77],"reasoning":[78],"model":[79],"based":[80],"Markov":[82],"Logic":[83],"Network":[84],"(MLN).":[85],"In":[86],"are":[90],"used":[91],"in":[92],"two":[93],"ways:":[94],"(1)":[95],"identify":[97],"easy":[98],"instances,":[99],"whose":[100],"automatically":[104],"determined":[105],"machine":[107],"with":[108,145],"high":[109],"accuracy;":[110],"(2)":[111],"capture":[113],"implicit":[114],"relations":[115],"between":[116],"aspect":[117],"polarities.":[118],"We":[119],"also":[120],"empirically":[121],"evaluate":[122],"SenHint":[126,139],"both":[128],"English":[129],"Chinese":[131],"benchmark":[132],"datasets.":[133],"Our":[134],"experimental":[135],"results":[136],"show":[137],"effectively":[141],"improve":[142],"accuracy":[143],"compared":[144],"alternatives.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-05-07T00:00:00"}
