{"id":"https://openalex.org/W2031174623","doi":"https://doi.org/10.1109/icdim.2012.6360120","title":"Sentiment analysis in a hybrid hierarchical classification process","display_name":"Sentiment analysis in a hybrid hierarchical classification process","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2031174623","doi":"https://doi.org/10.1109/icdim.2012.6360120","mag":"2031174623"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2012.6360120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","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/A5100323752","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-7566-2995"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","Dept. of Computer and Information Science, Norwegian University of Science and Technology, Sem S\u00e6lands vei 7-9, NO-7491 Trondheim, Norway#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Dept. of Computer and Information Science, Norwegian University of Science and Technology, Sem S\u00e6lands vei 7-9, NO-7491 Trondheim, Norway#TAB#","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055294418","display_name":"Jon Atle Gulla","orcid":"https://orcid.org/0000-0002-9806-7961"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jon Atle Gulla","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","Dept. of Computer and Information Science, Norwegian University of Science and Technology, Sem S\u00e6lands vei 7-9, NO-7491 Trondheim, Norway#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Dept. of Computer and Information Science, Norwegian University of Science and Technology, Sem S\u00e6lands vei 7-9, NO-7491 Trondheim, Norway#TAB#","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100323752"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":1.2844,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82960649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9940000176429749,"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":0.9904000163078308,"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":0.8000156879425049},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7052562236785889},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6355752944946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354621648788452},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5349822044372559},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5282427668571472},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48855623602867126},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46767744421958923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42653223872184753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496585190296173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000156879425049},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7052562236785889},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6355752944946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354621648788452},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5349822044372559},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5282427668571472},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48855623602867126},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46767744421958923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42653223872184753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496585190296173},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2012.6360120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W145806832","https://openalex.org/W1506806321","https://openalex.org/W1951269370","https://openalex.org/W1998442272","https://openalex.org/W2001619934","https://openalex.org/W2002645541","https://openalex.org/W2022204871","https://openalex.org/W2052935438","https://openalex.org/W2080558111","https://openalex.org/W2081375810","https://openalex.org/W2088900896","https://openalex.org/W2102134623","https://openalex.org/W2111979819","https://openalex.org/W2121526711","https://openalex.org/W2128279859","https://openalex.org/W2131305515","https://openalex.org/W2139982652","https://openalex.org/W2141631351","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2166334217","https://openalex.org/W2199803028","https://openalex.org/W2467919103","https://openalex.org/W3015740509","https://openalex.org/W4235133713","https://openalex.org/W4237602669","https://openalex.org/W6601528862","https://openalex.org/W6605892302","https://openalex.org/W6678748127","https://openalex.org/W6680201465","https://openalex.org/W6684250944","https://openalex.org/W6719735948"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W4296209631","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"As":[0,80],"more":[1,3,221],"and":[2,14,19,47],"reviews":[4],"are":[5],"generated":[6],"online,":[7],"sentiment":[8,36,101,128],"analysis":[9,37],"has":[10],"been":[11],"widely":[12],"studied":[13],"developed":[15],"both":[16],"in":[17,53,74,113,144,223],"academia":[18],"industry":[20],"recently.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,103,118],"propose":[26],"a":[27,54,65,121],"novel":[28],"approach":[29,63,140,159,215,219],"to":[30,69,107,120],"tackle":[31],"two":[32],"complementary":[33],"sub-tasks":[34],"of":[35,181,184,204],"on":[38,91,99,126,177],"review":[39],"texts,":[40],"i.e.,":[41],"the":[42,48,61,71,109,114,134,161,170,179,185,191,212],"Attribute":[43],"Detection":[44],"(AD)":[45],"task":[46,73],"Sentiment":[49],"Orientation":[50],"(SO)":[51],"task,":[52],"Hybrid":[55],"Hierarchical":[56],"Classification":[57],"Process":[58],"(HHCP).":[59],"Specifically,":[60],"HHCP":[62,139,158,218],"employs":[64],"linear":[66,110],"Fisher":[67,111],"classifier":[68,112],"achieve":[70],"AD":[72,135],"an":[75],"ontology-based":[76],"hierarchical":[77],"classification":[78,124],"process.":[79],"evidences":[81],"show":[82,154],"that":[83,87,155,190,209],"common":[84],"statistical":[85],"classifiers":[86],"have":[88],"superior":[89],"performances":[90],"semantic":[92],"classifications":[93],"do":[94],"not":[95,105,152],"necessarily":[96],"work":[97],"well":[98,199],"classifying":[100],"information,":[102],"did":[104],"continue":[106],"use":[108],"SO":[115],"task.":[116,136],"Instead,":[117],"turn":[119],"rule-based":[122],"heuristic":[123],"method":[125],"performing":[127],"orientation":[129],"for":[130,149],"attributes":[131],"identified":[132],"from":[133,194],"The":[137],"proposed":[138,157,217],"is":[141,220],"empirically":[142],"analyzed":[143],"extensive":[145],"experiments.":[146,174],"Experiments":[147,203],"conducted":[148],"performance":[150,195],"comparison":[151,196],"only":[153],"our":[156,216],"outperforms":[160],"other":[162],"three":[163],"baseline":[164],"methods,":[165],"but":[166],"also":[167],"address":[168],"all":[169],"concerns":[171],"raised":[172],"before":[173],"Further":[175],"experiments":[176],"analyzing":[178],"impact":[180],"dimensionality":[182],"d":[183,201],"input":[186],"vector":[187],"space":[188],"confirm":[189],"conclusions":[192],"drawn":[193],"hold":[197],"very":[198],"as":[200],"varies.":[202],"studying":[205],"computational":[206],"efficiency":[207],"demonstrate":[208],"compared":[210],"with":[211],"existing":[213],"HL-SOT":[214],"efficient":[222],"computation.":[224]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
