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Organisasi Riset Elektronika dan Informatika Dataverse (Badan Riset dan Inovasi Nasional)
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4,541 to 4,550 of 4,729 Results
Tabular Data - 65.2 KB - 6 Variables, 2055 Observations - UNF:6:iC8MPIrPQPMLQ4YrqOqCTA==
Tabular Data - 65.1 KB - 6 Variables, 2055 Observations - UNF:6:W6fXcFPTmFbFoRv+S2Bqnw==
Tabular Data - 65.1 KB - 6 Variables, 2055 Observations - UNF:6:7RfsiQVC7M4rwfTvo4DDRQ==
Tabular Data - 65.1 KB - 6 Variables, 2055 Observations - UNF:6:OcgoZ+0w7n6zOYLdLg+7YQ==
Tabular Data - 65.1 KB - 6 Variables, 2055 Observations - UNF:6:+A9T2o9CpgHwGRhCzGeV3A==
Oct 10, 2023 - Pengolahan Bahasa Alami (Natural Language Processing)
Hidayati, Nuraisa Novia; Riza, Hammam; Gunarso; Mohammad Teduh Uliniansyah; Agung Santosa; Asril; Elvira Nurfadhilah; Radhiyatul Fajri; Andi Djalal Latief; Dian Isnaeni Nurul Afra; Siska Pebiana; Harnum Annisa Prafitia; Junanto Prihantoro; Lyla Ruslana Aini; Yosi Sahreza; Gembong Satrio Wibowanto; Josua Geovani Pinem; Aulia Haritsuddin Karisma Muhammad Subekti; Muhammad Reza Alfin; Agung Septiadi; Siti Shaleha; Jemie Muliadi, 2023, "Dataset Sentimen dari Twitter Mengenai Ibu Kota Negara (IKN)", https://hdl.handle.net/20.500.12690/RIN/AXNT6M, RIN Dataverse, V1, UNF:6:eGsuLpL92MGaNdXRLoQamQ== [fileUNF]
Dataset ini merupakan kumpulan tweet berbahasa Indonesia mengenai IKN. Tweet yang dikumpulkan adalah dalam periode waktu 1 maret 2022 hingga 17 maret 2022. Jumlah total tweet adalah 12.520 tanpa ada duplikat konten, yang telah dilabeli dengan tiga kelas sentimen yaitu positif, ne...
Tabular Data - 326.5 KB - 2 Variables, 2504 Observations - UNF:6:X1Cq98J59dvTTlz8bfiewg==
data development
Tabular Data - 330.1 KB - 2 Variables, 2504 Observations - UNF:6:puRI4QhZ5q8vn2vgXUAIJg==
data testing
Tabular Data - 974.6 KB - 2 Variables, 7512 Observations - UNF:6:3GBdXFdKewgQHcBFpsgMvw==
data training
Oct 5, 2023 - Bioinformatika, Komputasi untuk Ilmu Hayati dan Kesehatan
cartealy, imam, 2023, "RNA-seq analysis of Calophyllum inophyllum", https://hdl.handle.net/20.500.12690/RIN/GD1HWZ, RIN Dataverse, V1, UNF:6:i9KPUCLGC7eFdH50WLkLNQ== [fileUNF]
Files related to RNA-seq analysis of Calophyllum inophyllum
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