{"id":"https://openalex.org/W585685877","doi":null,"title":"Emerging Technologies of Text Mining: Techniques and Applications","display_name":"Emerging Technologies of Text Mining: Techniques and Applications","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W585685877","mag":"585685877"},"language":"en","primary_location":{"id":"mag:585685877","doi":null,"is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/ncid/BA83648548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"book","is_traditional":true,"indexed_in":[],"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/A5021640123","display_name":"H\u00e9rcules Ant\u00f4nio do Prado","orcid":"https://orcid.org/0000-0002-8375-0899","observed_orcids":["https://orcid.org/0000-0002-8375-0899"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e9rcules Ant\u00f4nio do Prado","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8375-0899","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049177751","display_name":"Ed\u00edlson Ferneda","orcid":"https://orcid.org/0000-0003-4164-5828","observed_orcids":["https://orcid.org/0000-0003-4164-5828"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ed\u00edlson Ferneda","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4164-5828","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7123,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.81574803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.38989999890327454,"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":0.38989999890327454,"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":0.2838999927043915,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.21369999647140503,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/text-mining","display_name":"text mining","score":1.0},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.8360000252723694},{"id":"https://openalex.org/keywords/association-analysis","display_name":"association analysis","score":0.9390000104904175},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/document-clustering","display_name":"document clustering","score":0.9520000219345093},{"id":"https://openalex.org/keywords/textual-data","display_name":"text data","score":0.527999997138977},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"competitive advantage","score":0.9490000009536743}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6977977752685547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913567781448364},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6012001037597656},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5825355648994446},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5021858215332031},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.501539945602417},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.48427456617355347},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4412969946861267},{"id":"https://openalex.org/C207267971","wikidata":"https://www.wikidata.org/wiki/Q120208","display_name":"Emerging technologies","level":2,"score":0.432442307472229},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3514367341995239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3353240489959717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1405501663684845},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:585685877","doi":null,"is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/ncid/BA83648548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W156509570","https://openalex.org/W192141515","https://openalex.org/W1486654422","https://openalex.org/W1500910854","https://openalex.org/W1542212568","https://openalex.org/W1866827035","https://openalex.org/W1992324015","https://openalex.org/W2028674112","https://openalex.org/W2073506374","https://openalex.org/W2087106019","https://openalex.org/W2101157755","https://openalex.org/W2111243467","https://openalex.org/W2118587067","https://openalex.org/W2118639955","https://openalex.org/W2118942683","https://openalex.org/W2133487567","https://openalex.org/W2221728350","https://openalex.org/W2294798173","https://openalex.org/W2485039127","https://openalex.org/W2753533763","https://openalex.org/W2883718772","https://openalex.org/W2913066018","https://openalex.org/W2915733817"],"related_works":["https://openalex.org/W4235809937","https://openalex.org/W7099907830","https://openalex.org/W2061941130","https://openalex.org/W2604161433","https://openalex.org/W3127154812","https://openalex.org/W7098542482","https://openalex.org/W4401295127","https://openalex.org/W7099131569","https://openalex.org/W1563095747","https://openalex.org/W7024898366"],"abstract_inverted_index":{"Massive":[0],"amounts":[1],"of":[2,30,47,57,72,82],"textual":[3,73],"data":[4],"make":[5],"up":[6],"most":[7,38],"organizations":[8],"stored":[9],"information.":[10],"Therefore,":[11],"there":[12],"is":[13],"increasingly":[14],"high":[15],"demand":[16],"for":[17,25],"a":[18],"comprehensive":[19],"resource":[20],"providing":[21],"practical":[22],"hands-on":[23],"knowledge":[24],"real-world":[26],"applications.":[27],"Emerging":[28,80],"Technologies":[29,81],"Text":[31,83],"Mining:":[32,84],"Techniques":[33,85],"and":[34,63,86],"Applications":[35,87],"provides":[36],"the":[37,44,48,55,70,92],"recent":[39],"technical":[40],"information":[41,61,74],"related":[42],"to":[43,69,76],"computational":[45],"models":[46],"text":[49],"mining":[50,75],"process,":[51],"discussing":[52],"techniques":[53],"within":[54],"realms":[56],"classification,":[58],"association":[59],"analysis,":[60],"extraction,":[62],"clustering.":[64],"Offering":[65],"an":[66],"innovative":[67],"approach":[68],"utilization":[71],"maximize":[77],"competitive":[78],"advantage,":[79],"will":[88],"provide":[89],"libraries":[90],"with":[91],"defining":[93],"reference":[94],"on":[95],"this":[96],"topic.":[97]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}