{"id":"https://openalex.org/W2023828662","doi":"https://doi.org/10.1109/iri.2012.6303002","title":"Calculating emotional score of words for user emotion detection in messenger logs","display_name":"Calculating emotional score of words for user emotion detection in messenger logs","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2023828662","doi":"https://doi.org/10.1109/iri.2012.6303002","mag":"2023828662"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2012.6303002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6303002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","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/A5029671916","display_name":"Lun\u2010Wei Ku","orcid":"https://orcid.org/0000-0003-2691-5404"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lun-Wei Ku","raw_affiliation_strings":["National Yunlin University of Science and Technology, Taiwan","National Yunlin Univ. of Science and Technology (Taiwan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"National Yunlin Univ. of Science and Technology (Taiwan)","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008851898","display_name":"Cheng-Wei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Wei Sun","raw_affiliation_strings":["National Yunlin University of Science and Technology, Taiwan","National Yunlin Univ. of Science and Technology (Taiwan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"National Yunlin Univ. of Science and Technology (Taiwan)","institution_ids":["https://openalex.org/I75357094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75357094"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4738","issue":null,"first_page":"138","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9968000054359436,"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":0.9930999875068665,"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":0.6803116202354431},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6363947987556458},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.513433575630188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5013272762298584},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4952060282230377},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3440268635749817},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.2951815128326416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803116202354431},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6363947987556458},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.513433575630188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013272762298584},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4952060282230377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3440268635749817},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2951815128326416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2012.6303002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6303002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W247291998","https://openalex.org/W1479917542","https://openalex.org/W1502964459","https://openalex.org/W1543056659","https://openalex.org/W2065586386","https://openalex.org/W2077029006","https://openalex.org/W2111007111","https://openalex.org/W2144378002","https://openalex.org/W2150362751","https://openalex.org/W2162555959","https://openalex.org/W2165008816","https://openalex.org/W2171683557","https://openalex.org/W3147292827","https://openalex.org/W4247977950","https://openalex.org/W6607799657","https://openalex.org/W6609393861","https://openalex.org/W6630071683","https://openalex.org/W6632576351","https://openalex.org/W6676152391","https://openalex.org/W6682216032"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W1831473261","https://openalex.org/W4293870971","https://openalex.org/W2151226813","https://openalex.org/W3204019825","https://openalex.org/W4205336895","https://openalex.org/W3156356070","https://openalex.org/W2154970010","https://openalex.org/W4310609400"],"abstract_inverted_index":{"This":[0],"paper":[1],"utilized":[2],"sentences":[3,53],"containing":[4],"emoticon":[5,34,56,85,93],"from":[6,17,75],"the":[7,68,78,101,108,118],"articles":[8,40],"in":[9,37],"Yahoo!":[10,38,69],"blogs":[11],"to":[12,95,99],"automatically":[13],"detect":[14],"user's":[15,102],"emotions":[16],"messenger":[18,72],"logs.":[19],"Four":[20],"approaches,":[21,89],"topical":[22,119],"approach,":[23,25,27,30],"emotional":[24,60],"retrieval":[26],"and":[28,70,90,121],"lexicon":[29],"were":[31,41,47],"proposed.":[32],"Forty":[33],"classes":[35,57,86,94,98],"found":[36],"blog":[39],"used":[42],"for":[43,111],"experiments.":[44],"Two":[45],"experiments":[46],"performed.":[48],"The":[49,64,104],"first":[50],"experiment":[51,66],"classified":[52,81],"into":[54,83],"40":[55,84,92],"by":[58,87,117],"calculating":[59],"scores":[61],"of":[62,107],"words.":[63],"second":[65],"took":[67],"MSN":[71],"logs":[73],"collected":[74],"users":[76],"as":[77],"experimental":[79],"materials,":[80],"them":[82],"proposed":[88,109],"mapped":[91],"6":[96],"emotion":[97,113],"tell":[100],"emotion.":[103],"best":[105],"performance":[106],"approaches":[110],"user":[112],"detection":[114],"was":[115,126],"achieved":[116],"approach":[120],"its":[122],"micro-average":[123],"precision":[124],"0.48":[125],"satisfactory.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}