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1,171 to 1,180 of 1,207 Results
Mar 9, 2022
Bagian ini mengandung seluruh kebutuhan perkuliahan Desain Audio
Tel-U Openlibrary Dataverse(Telkom University)
Mar 8, 2022
Mar 8, 2022 - HILAL HUDAN NUHA Dataverse
HUDAN NUHA, HILAL, 2022, "ws prediction", https://doi.org/10.34820/FK2/0YKDRY, Telkom University Dataverse, V1, UNF:6:/2Xe+nw7rIOMS9x5OVX9zA== [fileUNF]
ws prediction
HILAL HUDAN NUHA Dataverse(Telkom University)
Mar 8, 2022
Mar 7, 2022 - CANDIWAN CANDIWAN Dataverse
CANDIWAN, CANDIWAN, 2022, "Information Security Assessment on Court Tracking Information System: A Case Study from Mataram District Court", https://doi.org/10.34820/FK2/I9VOJC, Telkom University Dataverse, V1
This data has relation with our paper : Information Security Assessment On Court Tracking Information System: A Case Study from Mataram District Court
CANDIWAN CANDIWAN Dataverse(Telkom University)
Mar 7, 2022
This Dataverse relates with data of Candiwan's paper
Mar 6, 2022 - Mahendra's Dataset
Purbolaksono, Mahendra Dwifebri; Adiwijaya; Said Al Faraby, 2022, "Beauty Product Review", https://doi.org/10.34820/FK2/NAZYE1, Telkom University Dataverse, V1, UNF:6:3WcQ72ieFP5SlXmF9IPVZA== [fileUNF]
This dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.
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'...
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.
Ade Romadhony Dataverse(Fakultas Informatika, Data Science)
Mar 4, 2022
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