{"id":"https://openalex.org/W2086524289","doi":"https://doi.org/10.1109/scis-isis.2014.7044701","title":"Construction of concept network from large numbers of texts for information examination using TF-IDF and deletion of unrelated words","display_name":"Construction of concept network from large numbers of texts for information examination using TF-IDF and deletion of unrelated words","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2086524289","doi":"https://doi.org/10.1109/scis-isis.2014.7044701","mag":"2086524289"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2014.7044701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057245375","display_name":"Yuta Doen","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Doen","raw_affiliation_strings":["Department of Information and Electronics, Tottori University, Tottori, Japan","Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053483373","display_name":"Masaki Murata","orcid":"https://orcid.org/0000-0002-4951-0584"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Murata","raw_affiliation_strings":["Department of Information and Electronics, Tottori University, Tottori, Japan","Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036470267","display_name":"Ryuta Otake","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryuta Otake","raw_affiliation_strings":["Department of Information and Electronics, Tottori University, Tottori, Japan","Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030132908","display_name":"Masato Tokuhisa","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Tokuhisa","raw_affiliation_strings":["Department of Information and Electronics, Tottori University, Tottori, Japan","Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101456529","display_name":"Qing Ma","orcid":"https://orcid.org/0000-0002-3902-3635"},"institutions":[{"id":"https://openalex.org/I103390050","display_name":"Ryukoku University","ror":"https://ror.org/012tqgb57","country_code":"JP","type":"education","lineage":["https://openalex.org/I103390050"]},{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qing Ma","raw_affiliation_strings":["Department of Information and Electronics, Tottori University, Tottori, Japan","Department of Applied Mathematics and Informatics, Ryukoku University, Seta, Otsu, Shiga 520-2194, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronics, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Department of Applied Mathematics and Informatics, Ryukoku University, Seta, Otsu, Shiga 520-2194, Japan","institution_ids":["https://openalex.org/I103390050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1108","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.998199999332428,"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/tf\u2013idf","display_name":"tf\u2013idf","score":0.800170361995697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7922970056533813},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6764003038406372},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.59077388048172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5878490805625916},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5224584341049194},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4684852361679077},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.28213441371917725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1386367678642273}],"concepts":[{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.800170361995697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922970056533813},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6764003038406372},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.59077388048172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878490805625916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5224584341049194},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4684852361679077},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28213441371917725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1386367678642273},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/scis-isis.2014.7044701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W56015316","https://openalex.org/W141948786","https://openalex.org/W1482214997","https://openalex.org/W1512081018","https://openalex.org/W1514499253","https://openalex.org/W1567365482","https://openalex.org/W1890589545","https://openalex.org/W1978394996","https://openalex.org/W1981922192","https://openalex.org/W1982678692","https://openalex.org/W2133177451","https://openalex.org/W2142276227","https://openalex.org/W2165186823","https://openalex.org/W2396588135","https://openalex.org/W3162630350","https://openalex.org/W6602237180","https://openalex.org/W6605757388","https://openalex.org/W6628905179","https://openalex.org/W6630705841","https://openalex.org/W6630779723","https://openalex.org/W6634133269","https://openalex.org/W6681222645","https://openalex.org/W6712226540"],"related_works":["https://openalex.org/W1997256148","https://openalex.org/W3186733304","https://openalex.org/W2343335642","https://openalex.org/W2069275471","https://openalex.org/W2795900462","https://openalex.org/W2251767200","https://openalex.org/W2384924398","https://openalex.org/W3083038004","https://openalex.org/W2997891576","https://openalex.org/W2357647850"],"abstract_inverted_index":{"We":[0,38,57,69,106,132,144],"propose":[1],"new":[2],"methods":[3],"to":[4,19,88,128,136],"construct":[5],"a":[6,20,43,61,67,79,122],"network":[7,80],"that":[8,16,110,124,146],"describes":[9],"information":[10],"about":[11],"the":[12,75,101,111,138,147,160,164,181],"relations":[13],"of":[14,35,140,159],"things":[15],"are":[17,86],"related":[18,40,114,130,161,178],"certain":[21],"keyword":[22],"from":[23,163,180],"electronic":[24],"texts.":[25],"The":[26,91,167],"proposed":[27,92,112],"method":[28,117,123,149,169],"has":[29],"two":[30,99],"characteristics":[31],"(TF-IDF":[32],"and":[33,81,103,155,175],"deletion":[34],"unrelated":[36,72,84,96,142,153,173],"words).":[37],"extract":[39,53,129],"words":[41,73,85,97,154,162,174,179],"using":[42,98],"term":[44],"frequency-inverse":[45],"document":[46],"frequency":[47],"(TF-IDF)-based":[48],"method.":[49],"Using":[50],"TF-IDF,":[51],"we":[52],"only":[54],"important":[55],"words.":[56,131,143],"use":[58],"TF-IDF":[59],"as":[60],"weight":[62],"for":[63],"an":[64],"edge":[65],"in":[66,74],"network.":[68,76,166,183],"also":[70,133],"delete":[71,151,171],"When":[77],"expanding":[78],"adding":[82],"words,":[83],"likely":[87],"be":[89],"added.":[90],"system":[93],"deletes":[94],"such":[95],"methods,":[100],"topic-restricted":[102,148],"topic-related":[104,168],"methods.":[105],"have":[107],"experimentally":[108],"confirmed":[109],"TF-IDF-based":[113],"word":[115],"extraction":[116],"obtains":[118],"better":[119],"results":[120],"than":[121],"uses":[125],"conditional":[126],"probabilities":[127],"conducted":[134],"experiments":[135],"verify":[137],"effectiveness":[139],"deleting":[141],"found":[145],"could":[150],"most":[152,177],"maintain":[156,176],"approximately":[157],"0.8":[158],"original":[165,182],"can":[170],"some":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
