VTuber-BigData-Analytics

所属分类:虚拟化
开发工具:Python
文件大小:0KB
下载次数:0
上传日期:2024-02-07 05:00:03
上 传 者sh-1993
说明:  该项目的特点是使用大数据进行详细的VTuber受众参与度研究。它使用Azure Databricks和Synapse分析大型Kaggle数据集,重点关注实时聊天、超级聊天和调节。其目标是改善VTuber内容和观众互动,展示大数据在数字娱乐中的作用。
(This project features a detailed VTuber audience engagement research using Big Data. Employing Azure Databricks and Synapse, it analyses a large Kaggle dataset, focusing on live chats, Super Chats, and moderation. The aim is to improve VTuber content and audience interaction, showcasing Big Data s role in digital entertainment.)

文件列表:
EDA SQL Scripts/
MyFirstAzureWebApp/
PySpark Data Processing/

# VTuber-BigData-Analytics This research delves into the dynamics of VTuber events, focusing on audience interaction elements like live chat, Super Chat donations, and moderation. Utilizing a Kaggle dataset, it analyzes these aspects to pinpoint what drives successful VTuber interactions. Leveraging Azure's data tools, including Azure Databricks and Synapse, the study offers detailed insights to help VTubers enhance their content and interaction strategies. It also aims to guide viewers in better navigating the VTuber world. The expected outcome is a deeper understanding of audience preferences and behaviors, leading to more personalized and impactful experiences. Ultimately, the project seeks to refine the digital connection between VTubers and their audiences, supporting the growth of this innovative entertainment form.

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