{"id":"https://openalex.org/W1995819718","doi":"https://doi.org/10.1080/01969720903152593","title":"CUSTOMER SEGMENTATION AND CLASSIFICATION FROM BLOGS BY USING DATA MINING: AN EXAMPLE OF VOIP PHONE","display_name":"CUSTOMER SEGMENTATION AND CLASSIFICATION FROM BLOGS BY USING DATA MINING: AN EXAMPLE OF VOIP PHONE","publication_year":2009,"publication_date":"2009-09-04","ids":{"openalex":"https://openalex.org/W1995819718","doi":"https://doi.org/10.1080/01969720903152593","mag":"1995819718"},"language":"en","primary_location":{"id":"doi:10.1080/01969720903152593","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720903152593","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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/A5036428808","display_name":"Long\u2010Sheng Chen","orcid":"https://orcid.org/0000-0002-2967-9956"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Long-Sheng Chen","raw_affiliation_strings":["Department of Information Management , Chaoyang University of Technology , Taiwan","CHAOYANG UNIVERSITY OF TECHNOLOGY"],"affiliations":[{"raw_affiliation_string":"Department of Information Management , Chaoyang University of Technology , Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"CHAOYANG UNIVERSITY OF TECHNOLOGY","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018910589","display_name":"Chun-Chin Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chin Hsu","raw_affiliation_strings":["Department of Industrial Engineering and Management , Chaoyang University of Technology , Taiwan","CHAOYANG UNIVERSITY OF TECHNOLOGY"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management , Chaoyang University of Technology , Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"CHAOYANG UNIVERSITY OF TECHNOLOGY","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061218579","display_name":"Mu\u2010Chen Chen","orcid":"https://orcid.org/0000-0002-9685-3408"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mu-Chen Chen","raw_affiliation_strings":["Institute of Traffic and Transportation, National Chiao Tung University , Taipei, Taiwan","Institute of Traffic and Transportation, National Chiao Tung University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Traffic and Transportation, National Chiao Tung University , Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Traffic and Transportation, National Chiao Tung University, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036428808"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":2.2209,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90794006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"7","first_page":"608","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.995199978351593,"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":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799575924873352},{"id":"https://openalex.org/keywords/voice-over-ip","display_name":"Voice over IP","score":0.686426043510437},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6543207168579102},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6259558200836182},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5362018942832947},{"id":"https://openalex.org/keywords/web-mining","display_name":"Web mining","score":0.5168029069900513},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4579838812351227},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33592015504837036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2978752851486206},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.24767208099365234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799575924873352},{"id":"https://openalex.org/C171246234","wikidata":"https://www.wikidata.org/wiki/Q81945","display_name":"Voice over IP","level":3,"score":0.686426043510437},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6543207168579102},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6259558200836182},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5362018942832947},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.5168029069900513},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4579838812351227},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33592015504837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2978752851486206},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.24767208099365234},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1080/01969720903152593","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720903152593","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W230943270","https://openalex.org/W606458161","https://openalex.org/W1490552869","https://openalex.org/W1491663334","https://openalex.org/W1563088657","https://openalex.org/W1831426187","https://openalex.org/W1968316382","https://openalex.org/W1980918396","https://openalex.org/W1981276685","https://openalex.org/W1981391695","https://openalex.org/W1982114031","https://openalex.org/W1989895788","https://openalex.org/W1989993068","https://openalex.org/W1990517717","https://openalex.org/W1992268372","https://openalex.org/W1994367611","https://openalex.org/W2007278710","https://openalex.org/W2009224197","https://openalex.org/W2020700673","https://openalex.org/W2024888488","https://openalex.org/W2026091747","https://openalex.org/W2029949252","https://openalex.org/W2033615083","https://openalex.org/W2039977887","https://openalex.org/W2048703832","https://openalex.org/W2058830956","https://openalex.org/W2071180316","https://openalex.org/W2078666446","https://openalex.org/W2079220111","https://openalex.org/W2084188120","https://openalex.org/W2091402598","https://openalex.org/W2092832978","https://openalex.org/W2093195756","https://openalex.org/W2099294046","https://openalex.org/W2099435377","https://openalex.org/W2105260602","https://openalex.org/W2109943925","https://openalex.org/W2110673691","https://openalex.org/W2120478837","https://openalex.org/W2123737232","https://openalex.org/W2125055259","https://openalex.org/W2135047003","https://openalex.org/W2142827986","https://openalex.org/W2147416287","https://openalex.org/W2149706766","https://openalex.org/W2151626491","https://openalex.org/W2153635508","https://openalex.org/W2249846468","https://openalex.org/W2272647937","https://openalex.org/W2493441420","https://openalex.org/W3207342693","https://openalex.org/W4247346963","https://openalex.org/W4248609657","https://openalex.org/W4250409849","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2084179496","https://openalex.org/W2103238357","https://openalex.org/W2741704743","https://openalex.org/W2262810789","https://openalex.org/W4386040921","https://openalex.org/W2914904360","https://openalex.org/W2749819919","https://openalex.org/W2993764333","https://openalex.org/W2977917096","https://openalex.org/W2499686294"],"abstract_inverted_index":{"Blogs":[0],"have":[1,46],"been":[2],"considered":[3],"the":[4,14,48,61,101,189,192],"4th":[5],"Internet":[6,26,181],"application":[7],"that":[8,78,144],"can":[9,96],"cause":[10],"radical":[11],"changes":[12],"in":[13,72],"world,":[15],"after":[16],"e-mail,":[17],"instant":[18],"messaging,":[19],"and":[20,36,51,88,105,149,158],"Bulletin":[21],"Board":[22],"System":[23],"(BBS).":[24],"Many":[25],"users":[27],"rely":[28],"heavily":[29],"on":[30,39,60],"them":[31],"to":[32,99,109,140,187],"express":[33],"their":[34],"emotions":[35],"personal":[37],"comments":[38],"whatever":[40],"topics":[41],"interest":[42],"them.":[43],"Nowadays,":[44],"blogs":[45,71,90,118],"become":[47],"popular":[49],"media":[50],"could":[52,125],"be":[53,97,126],"viewed":[54],"as":[55],"new":[56,81,128],"marketing":[57],"channels.":[58],"Depending":[59],"blog":[62,82,123,169],"search":[63],"engine,":[64],"Technorati,":[65],"we":[66],"tracked":[67],"about":[68],"94":[69],"million":[70],"August":[73],"2007.":[74],"It":[75],"also":[76],"reported":[77],"a":[79,127,142,168,174],"whole":[80],"is":[83,139,185],"created":[84],"every":[85],"7.4":[86],"seconds":[87],"275,000":[89],"are":[91],"updated":[92],"daily.":[93],"These":[94],"figures":[95],"used":[98],"illustrate":[100],"reason":[102],"why":[103],"more":[104,106],"companies":[107],"attempt":[108],"discover":[110],"useful":[111],"knowledge":[112,164],"from":[113,165],"this":[114,137],"vast":[115],"number":[116],"of":[117,130,136,191],"for":[119,162],"business":[120],"purposes.":[121],"Therefore,":[122],"mining":[124,170],"trend":[129],"web":[131],"mining.":[132],"The":[133],"major":[134],"objective":[135],"study":[138],"present":[141],"structure":[143],"includes":[145],"unsupervised":[146],"(self-organizing":[147],"map)":[148],"supervised":[150],"learning":[151],"methods":[152],"(back-propagation":[153],"neural":[154],"networks,":[155],"decision":[156],"tree,":[157],"support":[159],"vector":[160],"machines)":[161],"extracting":[163],"blogs,":[166],"namely,":[167],"(BM)":[171],"model.":[172],"Moreover,":[173],"real":[175],"case":[176],"regarding":[177],"VoIP":[178],"(Voice":[179],"over":[180],"Protocol)":[182],"phone":[183],"products":[184],"provided":[186],"demonstrate":[188],"effectiveness":[190],"proposed":[193],"method.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
