{"id":"https://openalex.org/W2071270203","doi":"https://doi.org/10.4304/jmm.8.4.372-378","title":"Text Classification Retrieval Based on Complex Network and ICA Algorithm","display_name":"Text Classification Retrieval Based on Complex Network and ICA Algorithm","publication_year":2013,"publication_date":"2013-07-30","ids":{"openalex":"https://openalex.org/W2071270203","doi":"https://doi.org/10.4304/jmm.8.4.372-378","mag":"2071270203"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.8.4.372-378","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.4.372-378","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","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/A5100383791","display_name":"Hongxia Li","orcid":"https://orcid.org/0000-0002-6475-0906"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongxia Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100383791"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.816,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76994883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11309","display_name":"Music and Audio Processing","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.726548433303833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5224151611328125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4974971115589142},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4163268208503723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3699461817741394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726548433303833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5224151611328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4974971115589142},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4163268208503723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3699461817741394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jmm.8.4.372-378","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.4.372-378","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1987048275","https://openalex.org/W2031369821","https://openalex.org/W2039634761","https://openalex.org/W2074959193","https://openalex.org/W2079678116","https://openalex.org/W2099468913","https://openalex.org/W2113180829","https://openalex.org/W2543409744"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2087721185","https://openalex.org/W1564859343","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,9,22,54,61,68,78,124,160],"development":[2],"of":[3,72,82,91,96,107,127,164,178],"computer":[4,35],"science":[5],"and":[6,15,30,58,110,117,129,162],"information":[7,14],"technology,":[8],"library":[10,18],"is":[11,99],"developing":[12],"toward":[13],"network.":[16],"The":[17,27,94,121],"digital":[19,25],"process":[20,57],"converts":[21],"book":[23],"into":[24],"information.":[26],"high-quality":[28],"preservation":[29],"management":[31],"are":[32],"achieved":[33],"by":[34,142,154],"technology":[36],"as":[37,39],"well":[38],"text":[40,55,75,92,97,115,146,165,175],"classification":[41,56,116,147,166,177],"techniques.":[42],"It":[43,66,158,168],"realizes":[44,67,86],"knowledge":[45],"appreciation.":[46],"This":[47],"paper":[48,122],"introduces":[49],"complex":[50,73],"network":[51,74],"theory":[52],"in":[53],"put":[59],"forwards":[60],"ICA":[62,79,111,138],"semantic":[63],"clustering":[64,80,89,112,125,139,148],"algorithm.":[65],"independent":[69,83],"component":[70],"analysis":[71,106],"classification.":[76,93],"Through":[77,132],"algorithm":[81,109,113,128,140],"component,":[84],"it":[85],"character":[87],"words":[88],"extraction":[90],"visualization":[95],"retrieval":[98,176],"improved.":[100],"Finally,":[101],"we":[102,135],"make":[103],"a":[104,171],"comparative":[105],"collocation":[108],"through":[114],"keyword":[118],"search":[119],"experiment.":[120],"gives":[123],"degree":[126],"accuracy":[130,163],"figure.":[131],"simulation":[133],"analysis,":[134],"find":[136],"that":[137],"increases":[141],"1.2%":[143],"comparing":[144],"with":[145],"degree.":[149],"Accuracy":[150],"can":[151],"be":[152],"improved":[153],"11.1%":[155],"at":[156],"most.":[157],"improves":[159],"efficiency":[161],"retrieval.":[167],"also":[169],"provides":[170],"theoretical":[172],"reference":[173],"for":[174],"eBook":[179]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}