{"id":"https://openalex.org/W2921005631","doi":"https://doi.org/10.1145/3301551.3301561","title":"BANN","display_name":"BANN","publication_year":2018,"publication_date":"2018-12-29","ids":{"openalex":"https://openalex.org/W2921005631","doi":"https://doi.org/10.1145/3301551.3301561","mag":"2921005631"},"language":"en","primary_location":{"id":"doi:10.1145/3301551.3301561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301551.3301561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technology: IoT and Smart City","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/A5082147952","display_name":"Wei Quan","orcid":"https://orcid.org/0000-0002-0934-8324"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Quan","raw_affiliation_strings":["College of Computing & Informatics, Drexel University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing & Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370699","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0003-4406-2193"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["College of Computing & Informatics, Drexel University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing & Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Tony Hu","raw_affiliation_strings":["College of Computing & Informatics, Drexel University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing & Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082147952"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62103874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"228"},"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":0.9990000128746033,"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":0.9980999827384949,"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":0.8556987047195435},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7058414220809937},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6395136117935181},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5919540524482727},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5620509386062622},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5395424365997314},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5258220434188843},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49333181977272034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47401151061058044},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4289100170135498},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37175452709198},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23525452613830566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556987047195435},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7058414220809937},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6395136117935181},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5919540524482727},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5620509386062622},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5395424365997314},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5258220434188843},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49333181977272034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47401151061058044},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4289100170135498},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37175452709198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23525452613830566},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301551.3301561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301551.3301561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W223466030","https://openalex.org/W1555425735","https://openalex.org/W2009410854","https://openalex.org/W2097726431","https://openalex.org/W2120626200","https://openalex.org/W2141631351","https://openalex.org/W2149167588","https://openalex.org/W2250539671","https://openalex.org/W2253519362","https://openalex.org/W2477486832","https://openalex.org/W2562607067","https://openalex.org/W2582604983","https://openalex.org/W2605145284","https://openalex.org/W2740567223","https://openalex.org/W2740899359","https://openalex.org/W2741951152","https://openalex.org/W2766982976","https://openalex.org/W2782979470","https://openalex.org/W2887428522","https://openalex.org/W2963428430","https://openalex.org/W2964236337","https://openalex.org/W2964288660","https://openalex.org/W3122888209","https://openalex.org/W4205184193","https://openalex.org/W4240935049"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3116116498","https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2117643817","https://openalex.org/W2754876402"],"abstract_inverted_index":{"Identifying":[0],"and":[1,19,24,37,64,70,74,110,128,175],"extracting":[2],"opinions":[3,39],"on":[4,40,138,153,188],"social":[5],"media":[6],"has":[7,45],"become":[8],"very":[9],"important":[10],"in":[11],"today's":[12],"information-rich":[13],"environment,":[14],"since":[15],"we":[16,86],"need":[17],"fast":[18],"concise":[20],"information,":[21],"diverse":[22],"experiences,":[23],"knowledge":[25],"from":[26,124],"others":[27],"to":[28,35,62,79,106,166,180],"make":[29],"decisions.":[30],"Aspect-level":[31],"opinion":[32,41,51,95,108,172,189],"mining":[33,173,190],"aims":[34],"find":[36],"aggregate":[38],"targets.":[42],"Previous":[43],"work":[44,164],"demonstrated":[46],"that":[47,119,146],"precise":[48],"modeling":[49],"of":[50,160,169],"targets":[52,73,109,127],"within":[53],"the":[54,75,111,126,150,158,161,167,184],"surrounding":[55],"context":[56,76,112],"can":[57],"improve":[58],"performances.":[59],"However,":[60],"how":[61],"effectively":[63],"efficiently":[65],"learn":[66,107],"hidden":[67,121],"word":[68],"semantics":[69],"better":[71],"represent":[72],"still":[77],"needs":[78],"be":[80],"further":[81],"studied.":[82],"In":[83],"this":[84],"paper,":[85],"propose":[87],"bi-directional":[88,101],"attention":[89,117],"neural":[90],"networks":[91],"(BANN)":[92],"for":[93],"aspect-level":[94,171],"mining.":[96],"This":[97],"framework":[98],"employs":[99],"two":[100,139],"long":[102],"short-term":[103],"memory":[104],"(LSTM)":[105],"respectively,":[113],"followed":[114],"by":[115],"an":[116],"mechanism":[118],"integrates":[120],"states":[122],"learned":[123],"both":[125,154],"context.":[129],"We":[130],"compare":[131],"our":[132,147],"model":[133,148],"with":[134],"six":[135],"state-of-the-art":[136,170],"baselines":[137],"SemEval":[140],"2014":[141],"datasets.":[142],"Experiment":[143],"results":[144],"reveal":[145],"outperforms":[149],"baseline":[151],"methods":[152,174],"datasets,":[155],"which":[156],"indicates":[157],"effectiveness":[159],"model.":[162],"Our":[163],"contributes":[165],"improvement":[168],"offers":[176],"a":[177],"new":[178],"approach":[179],"support":[181],"people":[182],"during":[183],"decision-making":[185],"process":[186],"based":[187],"results.":[191]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-03-22T00:00:00"}