{"id":"https://openalex.org/W2148350640","doi":"https://doi.org/10.1109/ijcnn.2008.4633926","title":"Semantic representation in text classification using topic signature mapping","display_name":"Semantic representation in text classification using topic signature mapping","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2148350640","doi":"https://doi.org/10.1109/ijcnn.2008.4633926","mag":"2148350640"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5049071894","display_name":"Palakorn Achananuparp","orcid":"https://orcid.org/0000-0002-7684-1725"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Palakorn Achananuparp","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002827290","display_name":"Xiao\u2010Hua Zhou","orcid":"https://orcid.org/0000-0001-7935-1222"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Zhou","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569677","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0001-6942-490X"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356742","display_name":"Xiaodan Zhang","orcid":"https://orcid.org/0000-0001-7002-5447"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhang","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049071894"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11373638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1034","last_page":"1040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980000257492065,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.996999979019165,"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":0.7384970784187317},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5662366151809692},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.552432656288147},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5315586924552917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255100727081299},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49947547912597656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32997363805770874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09869927167892456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384970784187317},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5662366151809692},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.552432656288147},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5315586924552917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255100727081299},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49947547912597656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32997363805770874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09869927167892456},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.218.9558","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.9558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.pages.drexel.edu/~pa442/pdf/wcci2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W91569387","https://openalex.org/W1550206324","https://openalex.org/W1555648035","https://openalex.org/W1730404227","https://openalex.org/W1846766366","https://openalex.org/W1940278502","https://openalex.org/W1963742467","https://openalex.org/W2010575929","https://openalex.org/W2042980227","https://openalex.org/W2062270497","https://openalex.org/W2107535552","https://openalex.org/W2115684061","https://openalex.org/W2117805756","https://openalex.org/W2133517430","https://openalex.org/W2136480620","https://openalex.org/W2136542423","https://openalex.org/W2141734078","https://openalex.org/W2147152072","https://openalex.org/W2149684865","https://openalex.org/W2151752770","https://openalex.org/W2534712034","https://openalex.org/W2950225692","https://openalex.org/W4234819098","https://openalex.org/W4240913316","https://openalex.org/W4245107743","https://openalex.org/W4254060701","https://openalex.org/W6603755514","https://openalex.org/W6632865047","https://openalex.org/W6633525288","https://openalex.org/W6640448907","https://openalex.org/W6677712588","https://openalex.org/W6728595811"],"related_works":["https://openalex.org/W1671124163","https://openalex.org/W2168674042","https://openalex.org/W2535275505","https://openalex.org/W3030774134","https://openalex.org/W2104499293","https://openalex.org/W2062195135","https://openalex.org/W2102771100","https://openalex.org/W2082057679","https://openalex.org/W223898368","https://openalex.org/W2367459486"],"abstract_inverted_index":{"Document":[0],"representation":[1,18,43,76,127,133],"is":[2,44],"one":[3],"of":[4,12,41,48,74,80,98],"the":[5,10,27,38,46,72,78,120],"crucial":[6],"components":[7],"that":[8],"determine":[9],"effectiveness":[11,79],"text":[13,81],"classification":[14,82,121],"tasks.":[15],"Traditional":[16],"document":[17,29,65],"approaches":[19,128],"typically":[20],"adopt":[21],"a":[22,33,86,96],"popular":[23],"bag-of-word":[24,42,132],"method":[25],"as":[26],"underlying":[28],"representation.":[30,66],"Although":[31],"it\u2019s":[32],"simple":[34],"and":[35,104,111],"efficient":[36],"method,":[37],"major":[39],"shortcoming":[40],"in":[45,95,134],"independent":[47],"word":[49],"feature":[50],"assumption.":[51],"Many":[52],"researchers":[53],"have":[54],"attempted":[55],"to":[56,91,117],"address":[57],"this":[58,68],"issue":[59],"by":[60],"incorporating":[61],"semantic":[62,75,88,93,126],"information":[63,94],"into":[64],"In":[67],"paper,":[69],"we":[70],"study":[71],"effect":[73],"on":[77],"systems.":[83],"We":[84],"employed":[85],"novel":[87],"smoothing":[89],"technique":[90],"derive":[92],"form":[97],"mapping":[99],"probability":[100],"between":[101],"topic":[102],"signatures":[103],"single-word":[105],"features.":[106],"Two":[107],"classifiers,":[108],"Na\u00efve":[109],"Bayes":[110],"Support":[112],"Vector":[113],"Machine,":[114],"were":[115],"selected":[116],"carry":[118],"out":[119],"experiments.":[122],"Overall,":[123],"our":[124],"topic-signature":[125],"significantly":[129],"outperformed":[130],"traditional":[131],"most":[135],"datasets.":[136]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}