soglh/douban

豆瓣电影评论情感数据集是一个大规模的中文情感分析数据集，收集自中国最大的电影评论和推荐平台豆瓣。该数据集包含带有二元情感标签（正面/负面）的电影评论，旨在为中文文本分类和情感分析模型的训练和评估提供数据支持。最初是作为中文语言数据集开发的，用于《神经网络与深度学习》课程的最终项目。数据集来源为豆瓣网站，通过爬取公开电影评论收集，原始规模约为40,000条评论，其中20,000条正面样本和20,000条负面样本。

Douban Movie Review Sentiment Dataset is a large-scale Chinese sentiment analysis dataset collected from Douban, Chinas largest movie review and recommendation platform. The dataset contains movie reviews with binary sentiment labels (positive/negative), designed for training and evaluating text classification and sentiment analysis models in Chinese. Originally developed as the Chinese language dataset, for my final project for the *Neural Networks and Deep Learning* course. The source is Douban website, collected by scraping public movie reviews, with original size of approximately 40,000 reviews (20,000 positive samples and 20,000 negative samples).