September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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流分析与机器学习
｜
457
11.5
使用
Amazon Kinesis
，
AWS Lambda
和
Amazon SageMaker
进行实时产品评价分类
我们配置
Kinesis Data Firehose
传输流以接收来自客户的实时消息并进行转换，如
图
11-5
所示。
备份原始源数据
原始数据
转换过的
数据
转换过的
输入数据
输入数据
转换
输入流
端点
图 11-5：使用 Kinesis Data Firehose 接收并转换数据记录
1.
我们接收实时输入数据并预测星级评分以获取客户情绪。客户情绪可以用于迅
速识别可能需要高度注意的客户。
2. Kinesis Firehose
使我们能够借助
Lambda
函数转换数据记录。我们构建一个
Lambda
函数，从
Firehose
接收数据记录并将评价消息发送至包含我们微调好的
BERT
模型的
SageMaker
端点。
3.
模型预测
star_rating
，我们的
Lambda
函数将其添加至原始数据记录，该函数
其后将新记录返回至
Firehose
传输流。
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.