{"id":"https://openalex.org/W2319470100","doi":"https://doi.org/10.1145/2837185.2837198","title":"BUTE","display_name":"BUTE","publication_year":2015,"publication_date":"2015-12-11","ids":{"openalex":"https://openalex.org/W2319470100","doi":"https://doi.org/10.1145/2837185.2837198","mag":"2319470100"},"language":"en","primary_location":{"id":"doi:10.1145/2837185.2837198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837185.2837198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Information Integration and Web-based Applications &amp; Services","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/A5102848700","display_name":"Shuhei Yamamoto","orcid":"https://orcid.org/0009-0001-1003-9107"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuhei Yamamoto","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100887101","display_name":"Kei Wakabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Wakabayashi","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045875579","display_name":"Noriko Kando","orcid":"https://orcid.org/0000-0002-2133-0215"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriko Kando","raw_affiliation_strings":["National Inst. of Informatics, Chiyoda, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Inst. of Informatics, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110339892","display_name":"Tetsuji Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Satoh","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102848700"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78337078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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":0.8499991297721863},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.8223546743392944},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6653457880020142},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.598910927772522},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5804377794265747},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5640954375267029},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5149310231208801},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.4607393145561218},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.43916285037994385},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.4290391802787781},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4166612923145294},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4162839651107788},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.31339967250823975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3092471659183502},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3072575628757477},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24567148089408875},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17337417602539062},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13633528351783752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12100973725318909}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8499991297721863},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.8223546743392944},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6653457880020142},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.598910927772522},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5804377794265747},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5640954375267029},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5149310231208801},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.4607393145561218},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.43916285037994385},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.4290391802787781},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4166612923145294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4162839651107788},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.31339967250823975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3092471659183502},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3072575628757477},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24567148089408875},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17337417602539062},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13633528351783752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12100973725318909},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2837185.2837198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2837185.2837198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Information Integration and Web-based Applications &amp; Services","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":30,"referenced_works":["https://openalex.org/W1525595230","https://openalex.org/W1539585011","https://openalex.org/W1597406287","https://openalex.org/W1814023381","https://openalex.org/W1851821411","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1974778163","https://openalex.org/W1975583660","https://openalex.org/W2011949237","https://openalex.org/W2018165284","https://openalex.org/W2022757552","https://openalex.org/W2026302857","https://openalex.org/W2072644219","https://openalex.org/W2076219102","https://openalex.org/W2078483536","https://openalex.org/W2106321773","https://openalex.org/W2111538853","https://openalex.org/W2113640060","https://openalex.org/W2126712138","https://openalex.org/W2137553870","https://openalex.org/W2140785063","https://openalex.org/W2166008115","https://openalex.org/W2168400688","https://openalex.org/W2250323255","https://openalex.org/W2616802916","https://openalex.org/W4232413872","https://openalex.org/W4290864872","https://openalex.org/W6680455949","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W4390349266","https://openalex.org/W4391020859","https://openalex.org/W3170122200","https://openalex.org/W3008856892","https://openalex.org/W3163388127","https://openalex.org/W2358264916","https://openalex.org/W2324052717","https://openalex.org/W2944731877","https://openalex.org/W3109760095","https://openalex.org/W3005912893"],"abstract_inverted_index":{"Many":[0],"Twitter":[1],"users":[2,42,90,137],"post":[3,95],"tweets":[4,54,83,97],"that":[5],"are":[6,225],"related":[7],"to":[8,39],"their":[9],"particular":[10],"interests.":[11,45],"Users":[12],"can":[13],"also":[14],"collect":[15],"information":[16,199],"by":[17,26,56,152],"following":[18,62,87],"other":[19],"users.":[20,32],"One":[21],"approach":[22],"clarifies":[23],"user":[24,34,49,70,120,151,229],"interests":[25,50,114],"tagging":[27,35,71,193,230],"labels":[28],"based":[29],"on":[30,109],"the":[31,74,80,86,99,102,119,133,139,146,165,188,213],"A":[33],"method":[36,72,167],"is":[37],"important":[38],"discover":[40],"candidate":[41],"with":[43,51,105,126,182],"similar":[44],"Typical":[46],"approaches":[47],"estimate":[48],"terms":[52],"in":[53,142],"and":[55,84,121,144,162,209,211,215,222,231],"applying":[57],"graph":[58],"theory":[59],"such":[60,198],"as":[61,115,138,204],"networks.":[63],"In":[64],"contrast,":[65],"we":[66,112,186],"propose":[67],"a":[68],"new":[69],"using":[73,197],"posting":[75],"time":[76,100,123],"series":[77,124],"data":[78,125],"of":[79,82,136,191,217],"number":[81],"developed":[85],"hypothesis:":[88],"Since":[89],"have":[91],"interests,":[92],"they":[93],"will":[94],"more":[96],"at":[98],"occurring":[101],"events":[103],"compared":[104],"general":[106],"times.":[107],"Based":[108],"this":[110],"hypothesis,":[111],"extract":[113],"burst":[116,128,134],"levels":[117,135],"from":[118],"hashtag":[122,147],"Kleinberg's":[127],"enumerating":[129],"algorithm.":[130],"We":[131],"manage":[132],"term":[140],"frequency":[141],"documents":[143],"calculate":[145],"scores":[148],"for":[149,228],"each":[150,218],"three":[153],"typical":[154],"score":[155,233],"calculation":[156,234],"methods:":[157],"cosine":[158,223],"similarity,":[159],"Naive":[160,220],"Bayes,":[161],"TF-IDF.":[163],"Thus,":[164],"proposed":[166],"needs":[168],"no":[169],"linguistic":[170],"analysis":[171],"which":[172],"requires":[173],"heavy":[174],"computational":[175],"resources.":[176],"With":[177],"our":[178,192],"sophisticated":[179],"experimental":[180],"evaluations":[181],"actually":[183],"active":[184],"users,":[185],"demonstrate":[187],"high":[189],"efficiency":[190],"methods,":[194],"evaluate":[195],"them":[196],"retrieval":[200],"system":[201],"evaluation":[202],"metrics":[203],"expected":[205],"reciprocal":[206],"rank":[207],"(ERR)":[208],"Q-measure,":[210],"clarify":[212],"strengths":[214],"limitations":[216],"one.":[219],"Bayes":[221],"similarity":[224],"especially":[226],"suitable":[227],"tag":[232],"tasks.":[235]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
