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Python Source Code - 6.0 KB - MD5: 39fa923ab8cb79304023ab1eabb92b31
script para análise dos pdfs e levantamento dos termos
Tabular Data - 835.8 KB - 2 Variables, 50108 Observations - UNF:6:d0wRrXEdL2CvCpIMdifAag==
amostra criada para validação do script
MS Powerpoint - 25.9 MB - MD5: dd4ab8a18c52df2580e85511b203be35
Power point da apresentação realizada no 37o ENANPOLL
Biblioteconomia, Recuperação de Informação, E-Science e suas teorias (BRIET) logo
Oct 10, 2023
Biblioteconomia, Recuperação de Informação, E-Science e suas teorias
Comma Separated Values - 23.7 KB - MD5: d6bec3e477bbeaddfe62981a00ee3244
OpenOffice Spreadsheet - 23.6 KB - MD5: edd6314e5e7f8059e34bbc1105c9163a
OpenOffice Spreadsheet - 76.6 KB - MD5: 9905af099f05e3b923b2d449a6f9116a
Tabular Data - 75.6 KB - 8 Variables, 680 Observations - UNF:6:3a1t7/bIYESIDa47z03Vjg==
Plain Text - 376 B - MD5: 12b4d4b96f2802cd201ae75731fd777d
Comma Separated Values - 4.3 MB - MD5: 20de4ff3115a80a896848530bceefda2
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