Amazon2014数据集缺失:首先,目前主流的被处理过的数据集(如RecBole)不包含一些如商品描述的信息,但原始的Amazon2014 Dataset网页会自动跳转Amazon2018,这里给出不跳转的网页链接。 原始Amazon2014简要介绍:Amazon2014数据集主要分为两部分数据review dataset与product dataset。review dataset:包含用户的id、被评价商品、评价...
As the Amazon product review dataset is large, we present Big Data architecture suitable massive dataset for storing and computation, which is not possible with the traditional architecture. Furthermore, the dataset contains 15 attributes and has about 7 million records. With the dataset, we ...
Performance evaluation on an Amazon product review dataset demonstrates superior performance in terms of precision, recall, accuracy, and F-measure compared to conventional architectures. 展开 关键词: Sentiment analysis Accuracy Reviews Convolution Feature extraction Convolutional neural networks Fake news ...
review_data_processed.json(401.92 MB) get_app fullscreen chevron_right Unable to show preview Failed to fetch Data Explorer Version 1 (401.92 MB) review_data_processed.json Summary arrow_right folder 1 file lightbulb See what others are saying about this dataset What have you used this dataset...
dataset includes theuser_idof the user leaving the review, theitem_idindicating the Amazon product receiving the review, theratingthe user gave the product from 1 to 5, and thetimestampindicating the time when the review was written (truncated to the Day). We can also infer thecategoryof ...
默认情况下,新导出连接器会读取导出中存在的 DynamoDB JSON 结构中的数据。以下是使用Amazon Customer Review Dataset的框架的示例架构: root|-- Item: struct(nullable=true)||-- product_id: struct(nullable=true)|||-- S: string(nullable=true)||-- review_id: struct...
Configure Redshift Spectrum access to the Amazon product reviews dataset We use the Amazon Customer Reviews Dataset. This sample data set is no longer available, but you can use your own data sets to run the solution. Create an external table by...
marketplace：两位数的国家编码，此处都是‘US’customer_id： 一个代表发表评论用户的随机编码，对于每个用户唯一review_id： 对于评论的唯一编码product_id： 亚马逊通用的产品编码product_parent：母产品编码，很多产品有同属于一个母产品product_title：产品的描述product_category：产品品类star_rating：评论星数，从1...
print("3 Random Reviews with Lowest Polarity:") for index,review in enumerate(df.iloc[df['polarity'].sort_values(ascending=True)[:3].index]['reviews.text']): print('Review {}:\n'.format(index+1),review) 我们来画出每个产品的评论的极性并进行比较。条形图最适合于此目的: product_polarity...
have only posted one review Less than approximately 10% of reviewers have only reviewed this product. The One-Hit Wonders have rated this product an average of2.5while the reviewers who have posted more than one review have rated this product an average of4.4. Based on our statistical modeling...