{"id":"https://openalex.org/W1974371882","doi":"https://doi.org/10.1109/apsipa.2014.7041632","title":"Emoticon recommendation in microblog using affective trajectory model","display_name":"Emoticon recommendation in microblog using affective trajectory model","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1974371882","doi":"https://doi.org/10.1109/apsipa.2014.7041632","mag":"1974371882"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5101145803","display_name":"Wei-Bin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Bin Liang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037801885","display_name":"Hsien\u2010Chang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I80327900","display_name":"Chang Jung Christian University","ror":"https://ror.org/02s3d7j94","country_code":"TW","type":"education","lineage":["https://openalex.org/I80327900"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsien-Chang Wang","raw_affiliation_strings":["Department of Information Management, Chang Jung Christian University, Tainan, Taiwan","Department of Information Management, Chang-Jung Christian University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chang Jung Christian University, Tainan, Taiwan","institution_ids":["https://openalex.org/I80327900"]},{"raw_affiliation_string":"Department of Information Management, Chang-Jung Christian University, Tainan, Taiwan","institution_ids":["https://openalex.org/I80327900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109938119","display_name":"Yian Shu Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-An Chu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6916,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87047489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980999827384949,"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":0.9980999827384949,"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/T13155","display_name":"Digital Communication and Language","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.8707419633865356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7712862491607666},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7654962539672852},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6605584621429443},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5824993848800659},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5457396507263184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49531903862953186},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.49085813760757446},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4901955723762512},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44210460782051086},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44189080595970154},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4331662058830261},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42392516136169434},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3260331451892853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3259681761264801},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1671721637248993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13984602689743042}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.8707419633865356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712862491607666},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7654962539672852},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6605584621429443},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5824993848800659},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5457396507263184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49531903862953186},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.49085813760757446},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4901955723762512},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44210460782051086},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44189080595970154},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4331662058830261},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42392516136169434},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3260331451892853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3259681761264801},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1671721637248993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13984602689743042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W10623578","https://openalex.org/W23809677","https://openalex.org/W87092222","https://openalex.org/W172155968","https://openalex.org/W1771834303","https://openalex.org/W1966797434","https://openalex.org/W2015886158","https://openalex.org/W2020618947","https://openalex.org/W2045631398","https://openalex.org/W2055235810","https://openalex.org/W2059689786","https://openalex.org/W2082645628","https://openalex.org/W2117645142","https://openalex.org/W2160754664","https://openalex.org/W2339343773","https://openalex.org/W2403668970","https://openalex.org/W2404480901","https://openalex.org/W4230277160","https://openalex.org/W4249142469","https://openalex.org/W4285719527","https://openalex.org/W6603586546","https://openalex.org/W6713580548","https://openalex.org/W6713894373"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2494246486","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2122605835"],"abstract_inverted_index":{"An":[0,111],"emoticon":[1,36,50,74,100,104,117,135],"is":[2,8,58,69,82,123],"a":[3,31,55,79,87,90,127],"metacommunicative":[4],"pictorial":[5],"representation":[6],"which":[7],"widely":[9],"used":[10],"in":[11,52,102],"text-based":[12],"online":[13],"communication":[14],"such":[15],"as":[16],"Plurk":[17,161],"and":[18,164],"Facebook":[19],"to":[20,33,39,49,85,99,125],"convey":[21],"the":[22,40,70,103,116,120,149,155,169,172],"user's":[23],"emotions.":[24],"However,":[25],"these":[26,95],"social":[27],"networks":[28],"still":[29],"lack":[30],"mechanism":[32],"provide":[34],"appropriate":[35],"recommendation":[37,51,128,136],"according":[38],"input":[41],"posts.":[42],"Therefore,":[43,66],"this":[44,77],"paper":[45],"develops":[46],"an":[47],"approach":[48],"microblog.":[53],"Generally,":[54],"blog":[56],"post":[57,88],"composed":[59],"of":[60,92,119,151,171],"at":[61],"least":[62],"one":[63],"emotional":[64],"topic.":[65],"topic":[67],"tracking":[68],"key":[71],"information":[72],"for":[73,162],"recommendation.":[75],"In":[76],"paper,":[78],"fixed-size":[80],"window":[81],"first":[83],"employed":[84],"segment":[86,121],"into":[89],"number":[91],"segments.":[93],"Then,":[94],"segments":[96],"are":[97],"projected":[98],"profiles":[101,118],"space":[105],"through":[106],"latent":[107],"Dirichlet":[108],"allocation":[109],"(LDA).":[110],"affective":[112],"trajectory":[113],"model":[114,129],"characterizing":[115],"sequence":[122],"proposed":[124,153,173],"construct":[126],"based":[130,143],"on":[131,144],"k-medoids":[132],"algorithm.":[133],"Finally,":[134],"can":[137],"be":[138],"realized":[139],"by":[140],"similarity":[141],"measure":[142],"Hausdorff":[145],"distance.":[146],"To":[147],"evaluate":[148],"performance":[150],"our":[152],"approach,":[154],"experimental":[156],"data":[157],"were":[158],"crawled":[159],"from":[160],"training":[163],"evaluation.":[165],"The":[166],"results":[167],"show":[168],"effectiveness":[170],"approach.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}