地球资源数据云——数据资源详情
该数据集《Movies Rating Data》主要用于多分类任务,数据形态以文本为主。 题目说明:NLP, Text Classification And Recommended System and More 任务类型:文本多分类。 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:tmdb_5000_movies.csv。 This Data About Movie Voting and their best rating. This Data have 20 Columns and 4804 Rows. And In this dataset how was the popularity of a movie and their characters and how was the release date of the movie revenue , status , title , movie language , average vote ,id and more.. Column Names: 1.Budget 2.Genres 3.Homepage

该数据集《Movies Rating Data》主要用于多分类任务,数据形态以文本为主。 题目说明:NLP, Text Classification And Recommended System and More
任务类型:文本多分类。
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:tmdb_5000_movies.csv。
This Data About Movie Voting and their best rating. This Data have 20 Columns and 4804 Rows. And In this dataset how was the popularity of a movie and their characters and how was the release date of the movie revenue , status , title , movie language , average vote ,id and more..
Column Names:
1.Budget
2.Genres
3.Homepage