地球资源数据云——数据资源详情
Spotify 和 YouTube
该数据集《Spotify and Youtube》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Statistics for the Top 10 songs of various spotify artists and their yt video. 任务类型：文本回归/预测。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Spotify_Youtube.csv。 Dataset of songs of various artist in the world and for each song is present: Several statistics of the music version on spotify, including the number of streams; Number of views of the official music video of the song on youtube. Content It includes 26 variables for each of the songs collected from spotify. These variables are briefly described next:
摘要概览
该数据集《Spotify and Youtube》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Statistics for the Top 10 songs of various spotify artists and their yt video.
任务类型：文本回归/预测。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Spotify_Youtube.csv。
Dataset of songs of various artist in the world and for each song is present:
Several statistics of the music version on spotify, including the number of streams;
Number of views of the official music video of the song on youtube.
Content
It includes 26 variables for each of the songs collected from spotify. These variables are briefly described next: