Amazon Reviews for Sentiment Analysis A few million Amazon reviews in fastText format Overview This dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels) for le
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...
This dataset consists of a nearly 3000 Amazon customer reviews (input text), star ratings, date of review, variant and feedback of various amazon Alexa products like Alexa Echo, Echo dots, Alexa Firesticks etc. for learning how to train Machine for sentiment analysis. ...
本数据集基于部分Amazon Review数据集,记录了用户对亚马逊网站商品的评价,可以通过分析用户评论文本,对用户的评分进行预测(1-5分的整数),共10w条数据示例(其中训练集train.csv包含8w条数据,字段包括review,label;测试集test.csv包含2w条数据,字段包括review,label)。可根据预定义的类别,对数据处理,进行评论预测。主要...
1. Amazon Reviews Dataset(亚马逊评论数据库) Amazon Review Dataset包含数百万条亚马逊客户评论(输入文本)和星级评定(输出标签),用于了解如何训练fastText用于情感分析。该数据集的大小为493MB。 相关链接:https://www.kaggle.com/bittlingmayer/amazonreviews ...
For this project, I'm using the Amazon Review Dataset. Amazon Review Dataset is a gigantic collection of product reviews and their star rating. It contains more than 40 millions of reviews(I don't know the original number).Downloading instructions and other information about the dataset can be...
batch_size = 1024train = gluon.data.ArrayDataset(nd.array(train_df['user'].values, dtype=np.float32), nd.array(train_df['item'].values, dtype=np.float32), nd.array(train_df['star_rating'].values, dtype=np.float32))test = gluon.data.ArrayDataset(nd.array(test_df['user'].values...
for index,text in enumerate(df['reviews.text'][35:40]): print('Review %d:\n'%(index+1),text) 可以看到有一些在评论中出现的缩略语,比如“It's”;数字,比如“3”;标点符号,比如“,”,“!”,“.”。我们将通过下面的操作来处理这些问题: 扩展缩略语; 将评论文本小写; 删除数字和包含数字的单词...
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon ...
importwarningswarnings.filterwarnings('ignore')importjsonimportosimportsysimportboto3importtimeimportpprintfromdatasetsimportload_datasetimportrandomimportjsonlines 以及设置将要使用的各种亚马逊云科技的服务客户端,包括 S3、Bedrock 等: session = boto3.session.Session() ...