{"id":"https://openalex.org/W3010201227","doi":"https://doi.org/10.1109/icsai48974.2019.9010453","title":"Extraction of Emotional Words and Construction of Emotional Dictionary Based on Syntactic Dependency and Point Mutual Information","display_name":"Extraction of Emotional Words and Construction of Emotional Dictionary Based on Syntactic Dependency and Point Mutual Information","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010201227","doi":"https://doi.org/10.1109/icsai48974.2019.9010453","mag":"3010201227"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5102121784","display_name":"Chunfang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfang Yuan","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069682852","display_name":"Guofeng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Deng","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003010402","display_name":"Xiaokao Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokao Tan","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9804999828338623,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9789999723434448,"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/dependency","display_name":"Dependency (UML)","score":0.7920128107070923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6542952656745911},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6269319653511047},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6221957206726074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5570003986358643},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.544246256351471},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.48721379041671753},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34761691093444824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12930530309677124}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7920128107070923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542952656745911},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6269319653511047},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6221957206726074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5570003986358643},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.544246256351471},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.48721379041671753},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34761691093444824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12930530309677124},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1567365482","https://openalex.org/W3146306708"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2000517284","https://openalex.org/W2365318811","https://openalex.org/W2136503713","https://openalex.org/W2375330620","https://openalex.org/W2363755581","https://openalex.org/W2067317451"],"abstract_inverted_index":{"This":[0,137],"paper":[1,138,234],"designs":[2],"a":[3,152],"method":[4,249],"based":[5,30,154],"on":[6,31,147,155],"the":[7,16,21,24,34,38,44,88,101,129,140,145,148,156,160,166,173,177,182,188,191,199,203,206,222,229],"dependency":[8],"syntax":[9,157],"and":[10,57,62,74,98,117,128,171,181,186,193,209,225,241],"point":[11],"mutual":[12],"information":[13],"to":[14,60,77,82,100,122,143,201],"extract":[15,165,194],"field":[17,26,39],"emotional":[18,35,123,132,207],"words.":[19],"Taking":[20],"topic":[22,150,213],"of":[23,37,68,112,131,176,205,228,239],"ASEAN":[25,53,149,212],"as":[27,151],"an":[28,211,247],"example,":[29],"this":[32,233],"method,":[33],"dictionary":[36,93,124],"is":[40,126,135,246],"automatically":[41],"constructed.":[42],"Since":[43],"\u201cOne":[45],"Belt,":[46],"One":[47],"Road\u201d":[48],"initiative":[49],"was":[50],"put":[51],"forward,":[52],"has":[54,63],"become":[55],"more":[56,58,73,75],"close":[59],"China":[61],"penetrated":[64],"into":[65],"all":[66],"aspects":[67],"life.":[69],"People":[70],"are":[71,235],"paying":[72],"attention":[76],"some":[78],"policy":[79],"measures":[80],"related":[81],"China-ASEAN,":[83],"including":[84],"Chinese":[85,103,113],"group.":[86],"However,":[87],"existing":[89],"open":[90],"source":[91],"sentiment":[92,168,179,184,215,230,252,261],"lacks":[94],"automatic":[95],"expansion":[96],"function,":[97],"due":[99],"overseas":[102],"language":[104,115],"habits":[105],"associated":[106],"with":[107],"accept":[108],"bilingual":[109],"education-the":[110],"use":[111,118],"traditional":[114],"form,":[116],"English":[119],"grammar":[120],"structure-lead":[121],"construction":[125],"flawed,":[127],"accuracy":[130],"unit":[133],"extraction":[134],"low.":[136],"uses":[139],"crawler":[141],"system":[142],"crawl":[144],"comments":[146],"corpus,":[153],"dependency,":[158],"define":[159],"word":[161,169,195],"pair":[162],"recognition":[163],"rules,":[164],"candidate":[167,178],"units,":[170],"calculate":[172],"PMI":[174],"values":[175,227],"words":[180,231,262],"known":[183],"lexicon,":[185],"set":[187],"valve.":[189],"Set":[190],"threshold":[192],"pairs":[196],"larger":[197],"than":[198,237],"threshold,":[200],"determine":[202],"polarity":[204],"words,":[208,253],"build":[210],"domain":[214],"dictionary.":[216],"The":[217,243],"simulation":[218],"results":[219],"show":[220],"that":[221],"accuracy,":[223],"recall":[224],"F":[226],"in":[232,263],"higher":[236],"those":[238],"PMIIR":[240],"word2Vec.":[242],"Ngram-PMI":[244],"algorithm":[245],"effective":[248],"for":[250,258],"extracting":[251,259],"which":[254],"can":[255],"provide":[256],"support":[257],"specific":[260],"multiple":[264],"fields.":[265]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
