地球资源数据云——数据资源详情
IMBD 电影评论-NLP
该数据集《IMBD Movie Review - NLP》主要用于二分类任务，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：Data Set The labeled data set consists of 25,000 IMDB movie reviews, specially… 任务类型：文本二分类。 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：Review.csv。 Data Set The labeled data set consists of 25,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of "Negative", and rating >=7 have a sentiment score of "Positive." No individual movie has more than 30 reviews. File description MovieReviewTrainingDatabase.csv - The labeled training set. The file is comma - delimited and has a header row followed by 25,000 rows containing the sentiment and the text for each review. Data fields sentiment - Sentiment of the review; "Positive" for positive reviews and "Negative" for negative reviews review - Text of the review
摘要概览
该数据集《IMBD Movie Review - NLP》主要用于二分类任务，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：Data Set The labeled data set consists of 25,000 IMDB movie reviews, specially…
任务类型：文本二分类。
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：Review.csv。
Data Set The labeled data set consists of 25,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of "Negative", and rating >=7 have a sentiment score of "Positive." No individual movie has more than 30 reviews.
File description MovieReviewTrainingDatabase.csv - The labeled training set. The file is comma - delimited and has a header row followed by 25,000 rows containing the sentiment and the text for each review.
Data fields sentiment - Sentiment of the review; "Positive" for positive reviews and "Negative" for negative reviews review - Text of the review