{"id":"https://openalex.org/W2052893934","doi":"https://doi.org/10.1109/isi.2013.6578799","title":"OCC model-based emotion extraction from online reviews","display_name":"OCC model-based emotion extraction from online reviews","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2052893934","doi":"https://doi.org/10.1109/isi.2013.6578799","mag":"2052893934"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2013.6578799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","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/A5117217082","display_name":"Luwen Huangfu","orcid":"https://orcid.org/0000-0003-3926-7901"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luwen Huangfu","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035983004","display_name":"Wenji Mao","orcid":"https://orcid.org/0000-0003-2323-5091"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenji Mao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Zeng","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022851","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-6538-0193"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5117217082"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.4941,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76592685,"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":"116","last_page":"121"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7069978713989258},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6618069410324097},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5822015404701233},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5767742991447449},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.5241972804069519},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.471516489982605},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4668591320514679},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44915029406547546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44414022564888},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40325725078582764},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2119891345500946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069978713989258},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6618069410324097},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5822015404701233},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5767742991447449},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.5241972804069519},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.471516489982605},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4668591320514679},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44915029406547546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44414022564888},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40325725078582764},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2119891345500946},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2013.6578799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W145806832","https://openalex.org/W161624608","https://openalex.org/W1581485226","https://openalex.org/W1880373995","https://openalex.org/W1964654922","https://openalex.org/W1966797434","https://openalex.org/W1997127837","https://openalex.org/W1998442272","https://openalex.org/W2005624335","https://openalex.org/W2086277751","https://openalex.org/W2088622183","https://openalex.org/W2102134623","https://openalex.org/W2112422413","https://openalex.org/W2115023510","https://openalex.org/W2123950356","https://openalex.org/W2133341045","https://openalex.org/W2139517011","https://openalex.org/W2160660844","https://openalex.org/W2161138645","https://openalex.org/W2164195112","https://openalex.org/W2166706824","https://openalex.org/W2168493061","https://openalex.org/W2295245525","https://openalex.org/W2591578345","https://openalex.org/W2949998441","https://openalex.org/W2951319051","https://openalex.org/W3112441000","https://openalex.org/W3146306708","https://openalex.org/W3149996465","https://openalex.org/W4206288734","https://openalex.org/W4250860020","https://openalex.org/W4251539777","https://openalex.org/W6605892302","https://openalex.org/W6606625883","https://openalex.org/W6634901647","https://openalex.org/W6676754427","https://openalex.org/W6764146914"],"related_works":["https://openalex.org/W4391307871","https://openalex.org/W4392502551","https://openalex.org/W2336827033","https://openalex.org/W2505228240","https://openalex.org/W4319430321","https://openalex.org/W3047499479","https://openalex.org/W4389296211","https://openalex.org/W2922915988","https://openalex.org/W2787157782","https://openalex.org/W1876223856"],"abstract_inverted_index":{"Extracting":[0],"emotions":[1,71,120],"from":[2,72,88,112],"online":[3,89],"reviews":[4],"is":[5],"crucial":[6],"to":[7,20,36,54,85,104,118],"many":[8],"security-related":[9,132],"applications":[10,14],"as":[11,13],"well":[12],"in":[15,62,75],"other":[16],"domains.":[17],"Traditional":[18],"approaches":[19],"emotion":[21,38,81,86,97,106],"extraction":[22,69,87],"have":[23,57],"mainly":[24],"focused":[25],"on":[26,122],"mining":[27],"the":[28,44,67,93,123,139],"polarities":[29],"of":[30,70,141],"opinions":[31],"or":[32],"using":[33,131],"annotated":[34],"data":[35],"extract":[37,105],"types.":[39],"Emotion":[40],"theories,":[41],"which":[42],"identify":[43],"underlying":[45],"cognitive":[46],"structure":[47],"and":[48,114],"emotional":[49],"dimensions":[50],"that":[51],"are":[52],"key":[53],"generate":[55],"emotions,":[56],"almost":[58],"been":[59],"totally":[60],"ignored":[61],"previous":[63],"work.":[64],"To":[65],"facilitate":[66],"automatic":[68],"textual":[73],"data,":[74],"this":[76],"paper,":[77],"we":[78,99],"propose":[79],"an":[80,128],"model":[82,117],"based":[83,121],"approach":[84],"reviews.":[90,134],"Informed":[91],"by":[92],"widely":[94],"used":[95],"OCC":[96,116],"model,":[98],"employ":[100],"a":[101],"statistical":[102],"method":[103],"words":[107],"with":[108],"their":[109],"dimension":[110],"values":[111],"texts,":[113],"implement":[115],"obtain":[119],"emotion-dimension":[124],"dictionary.":[125],"We":[126],"conduct":[127],"empirical":[129],"study":[130],"news":[133],"The":[135],"experimental":[136],"results":[137],"demonstrate":[138],"effectiveness":[140],"our":[142],"proposed":[143],"approach.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
