地球资源数据云——数据资源详情
Steam 评论和游戏数据集
该数据集《Steam Review&Games Dataset》主要用于多分类任务，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：This dataset contains Steam game reviews labeled as positive or negative. 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：output.csv, output_steamspy.csv。 The dataset provides a collection of game reviews from the Steam platform, making it suitable for natural language processing (NLP) and machine learning projects. The columns included are: id: Unique identifier for the review. app_id: Game identifier on Steam. content: Review text. author_id: Identifier for the review's author.
摘要概览
该数据集《Steam Review&Games Dataset》主要用于多分类任务，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：This dataset contains Steam game reviews labeled as positive or negative.
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：output.csv, output_steamspy.csv。
The dataset provides a collection of game reviews from the Steam platform, making it suitable for natural language processing (NLP) and machine learning projects. The columns included are:
id: Unique identifier for the review.
app_id: Game identifier on Steam.
content: Review text.
author_id: Identifier for the review's author.