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21 to 30 of 1,207 Results
Suhal Kusairi Dataverse(School of Economics & Business, Universitas Telkom, Bandung)
Mar 4, 2022
MAYA ARIYANTI Dataverse(Fakultas Ekonomi dan Bisnis : KK ICT Based Management (IBM))
Mar 4, 2022
Mar 4, 2022
Ini dataverse research Kurnia
Rina Djunita Pasaribu Dataverse(Telkom University, School of Economics and Business)
Mar 4, 2022
Dataverse - Rina D Pasaribu
Mar 4, 2022 - KHAIRUNNISA KHAIRUNNISA Dataverse
Andry Alamsyah; Dian Puteri Ramadhani; Farida Titik Kristanti; Khairunnisa Khairunnisa, 2022, "Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives", https://doi.org/10.34820/FK2/06LQEJ, Root, V1
In 2008, the Lehman Brothers’ bankruptcy, accumulated from the global financial crisis, proved a unique role of the highly interconnected financial entities. Shocks in a bank might trigger loss, induce spillovers, provoke a contagion shock spreading to other entities, trigger the...
AJI GAUTAMA PUTRADA Dataverse(Fakultas Informatika, Cyber Physical System)
Mar 4, 2022
Mar 4, 2022 - AJI GAUTAMA PUTRADA Dataverse
GAUTAMA PUTRADA, AJI, 2022, "Smart Lighting", https://doi.org/10.34820/FK2/8BXAYW, Telkom University Dataverse, V1, UNF:6:BvauYLl2J1NIhdE3B439fw== [fileUNF]
dataset pergerakan untuk training klasifikasi untuk kendali smart lighting
Ade Romadhony Dataverse(Fakultas Informatika, Data Science)
Mar 4, 2022
Mar 4, 2022 - Ade Romadhony Dataverse
Romadhony, Ade, 2022, "Aspect Based Sentiment Analysis - Indonesian Restaurant Review", https://doi.org/10.34820/FK2/UVHF0F, Telkom University Dataverse, V1, UNF:6:iWiGcMePR7+7K8N5tEGWKQ== [fileUNF]
The dataset used in Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews paper, by Rachmansyah Adhi Widhianto and Ade Romadhony.
Mar 5, 2022 - Ade Romadhony Dataverse
Romadhony, Ade, 2022, "Indonesian Online News Comment: Abusive Text Identification", https://doi.org/10.34820/FK2/DQEVRR, Telkom University Dataverse, V1, UNF:6:FL7AmAWefBkzMld2oMk8RA== [fileUNF]
This dataset consists of comments that are in some of the top news stories in 2019. comments obtained from the kompas, kaskus, and detik. The labeling process is carried out by 10 people and each comment was labeled by 3 annotators. Each comment is labeled with: 1: 'not abusive'...
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