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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 6, 2022 - Beauty Product Review
Tab-Delimited - 1.5 MB - MD5: 25321ae57c005ccdeaf802486f0af7d2
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.
Tab-Delimited - 895.0 KB - MD5: da4a89c2b1d717ffe8b90399ce590fb0
Ade Romadhony Dataverse(Fakultas Informatika, Data Science)
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
Mar 4, 2022 - Smart Lighting
Tab-Delimited - 2.3 MB - MD5: 13e7bf55b7bf9f09d3421e401fd1685a
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