{"id":"https://openalex.org/W2020475185","doi":"https://doi.org/10.1117/12.2052979","title":"Corpus analysis and automatic detection of emotion-including keywords","display_name":"Corpus analysis and automatic detection of emotion-including keywords","publication_year":2013,"publication_date":"2013-12-24","ids":{"openalex":"https://openalex.org/W2020475185","doi":"https://doi.org/10.1117/12.2052979","mag":"2020475185"},"language":"en","primary_location":{"id":"doi:10.1117/12.2052979","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2052979","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5032061647","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-2169-0007"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Tsinghua Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049718919","display_name":"Xiangqing He","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqing He","raw_affiliation_strings":["Tsinghua Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414092","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0001-9319-5940"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Tsinghua Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (China)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032061647"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07608448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9067","issue":null,"first_page":"90672G","last_page":"90672G"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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":0.9839000105857849,"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":0.8808740377426147},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.685416042804718},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6147621870040894},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6104418635368347},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5762637257575989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5632439851760864},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5352462530136108},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.5183785557746887},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4436627924442291},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41949349641799927},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.35807591676712036},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.12488672137260437},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0708579421043396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8808740377426147},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.685416042804718},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6147621870040894},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6104418635368347},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5762637257575989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5632439851760864},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5352462530136108},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.5183785557746887},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4436627924442291},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41949349641799927},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.35807591676712036},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12488672137260437},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0708579421043396},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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:10.1117/12.2052979","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2052979","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2146111747","https://openalex.org/W2151897491","https://openalex.org/W4211186029","https://openalex.org/W4237028743","https://openalex.org/W4245217852"],"related_works":["https://openalex.org/W1984947604","https://openalex.org/W4321608592","https://openalex.org/W2336827033","https://openalex.org/W2505228240","https://openalex.org/W4319318901","https://openalex.org/W4389296211","https://openalex.org/W2922915988","https://openalex.org/W4319430321","https://openalex.org/W4385689139","https://openalex.org/W1967999477"],"abstract_inverted_index":{"Emotion":[0],"words":[1,37],"play":[2],"a":[3],"vital":[4],"role":[5],"in":[6,38,66,82],"many":[7],"sentiment":[8,14],"analysis":[9],"tasks.":[10],"Previous":[11],"research":[12],"uses":[13],"dictionary":[15],"to":[16,35,49],"detect":[17],"the":[18,36,51],"subjectivity":[19],"or":[20],"polarity":[21],"of":[22,54],"words.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,57],"dive":[28],"into":[29],"Emotion-Inducing":[30],"Keywords":[31],"(EIK),":[32],"which":[33],"refers":[34],"use":[39],"that":[40],"convey":[41],"emotion.":[42],"We":[43],"first":[44],"analyze":[45],"an":[46,59],"emotion":[47],"corpus":[48],"explore":[50],"pragmatic":[52],"aspects":[53],"EIK.":[55],"Then":[56],"design":[58],"effective":[60],"framework":[61],"for":[62],"automatically":[63],"detecting":[64],"EIK":[65],"sentences":[67],"by":[68],"utilizing":[69],"linguistic":[70],"features":[71],"and":[72,86],"context":[73],"information.":[74],"Our":[75],"system":[76],"outperforms":[77],"traditional":[78],"dictionary-based":[79],"methods":[80],"dramatically":[81],"increasing":[83],"Precision,":[84],"Recall":[85],"F1-score.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
