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到5helpful_votes: 有用评论数total_votes：总评论数vine：是否为vine项目中的评论verified_purcha...
read_csv('dataset.csv') print("Shape of data=>",df.shape) 数据集包含34660行和21列。但我们只需要诸如产品名称、评论文本、用户推荐(推荐或不推荐)和认为该评论有用的人数等信息。因此,我删除了其他列,并将数据集缩减为只有四列,即“名称”、“评论文本”, “评论-是否推荐”和“评论-认为此评论有用...
数据集分析,当我拿到案例给的数据集后,我对其进行了仔细的分析: on-time-delivery-data.csv这个数据集包含两列:zipcode和classification_ontime。每一行表示一个邮政编码(zipcode)和对应的按时交付分类(classification_ontime)。 根据给出的样本,"Delayed"分类和"On time"分类都有出现,说明数据集中包含了按时和延迟交...
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...
helping you to make informed decisions for your business growth. You can get data from Amazon such as Product name, Best seller details, ASIN code, Customer review and ratings, etc. Also, you can get this data in multiple formats like CSV, Excel, etc. Try our cutting-edge scraping technol...
on-time-delivery-data.csv这个数据集包含两列:zipcode 和 classification_ontime。每一行表示一个邮政编码(zipcode)和对应的按时交付分类(classification_ontime)。 根据给出的样本,"Delayed" 分类和 "On time" 分类都有出现,说明数据集中包含了按时和延迟交付的样本。
{"name":"DelimitedTextDataset","properties": {"type":"DelimitedText","linkedServiceName": {"referenceName":"<Amazon S3 Compatible Storage linked service name>","type":"LinkedServiceReference"},"schema": [ < physical schema, optional, auto retrieved during authoring > ],"typeProperties": {"lo...
import numpy as np import pandas as pd # 可视化 import matplotlib.pyplot as plt # 正则化 import re # 处理字符串 import string # 执行数学运算 import math # 导入数据 df=pd.read_csv('dataset.csv') print("Shape of data=>",df.shape) 数据集包含34660行和21列。但我们只需要诸如产品名称、...
After Amazon Comprehend processes your document collection, it returns a compressed archive containing two files, topic-terms.csv and doc-topics.csv. For more information about the output file, see OutputDataConfig. The first output file, topic-terms.csv, is a list of topics in the collection....
The next step is to import your dataset into SageMaker Canvas: Create a dataset named QA-Pairs. Upload the prepared CSV file or select it from an S3 bucket. Choose the dataset, then chooseSelect dataset. Select a foundation model After you upload your dataset, select a...