PREDIKSI JUMLAH PENONTON VIDEO YOUTUBE MENGGUNAKAN MODEL DEEP NEURAL NETWORK (DNN)

Dwi Indrawan, Sena Ramadona Cakrawijaya, B. Wicaksono, Erni Erni, Windu Gata
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Abstract

Youtube viewer becomes a major factor in a content creator's success. The problem is how can predict the number of viewers of a youtube content to determine the success of a content or make it a trending video topic. A machine or computer can predict the number of viewers using the ANN method. DNN is one of ANN models that can predict a dataset. This study compared the success rate in predicting the number of viewers of youtube content from Youtube API dataset. DNN model prediction results have a higher level of excellence compared to the use of traditional methods Linear Regression and Naive Bayes.
Prediksi jumlah penonton视频YouTube menggunakan模型深度神经网络(dnn)
Youtube的观众成为内容创作者成功的主要因素。问题是如何预测youtube内容的观看人数,以确定内容的成功或使其成为热门视频话题。机器或计算机可以使用人工神经网络方法预测观众的数量。深度神经网络是一种可以预测数据集的人工神经网络模型。本研究比较了youtube API数据集预测youtube内容观看人数的成功率。与使用传统方法线性回归和朴素贝叶斯相比,DNN模型的预测结果具有更高的卓越水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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