课程: AutoML: Build Production-Ready Models Quickly!
今天就开通帐号，24,100 门业界名师课程任您挑！
NLP: How do you handle text data? - Python教程
课程: AutoML: Build Production-Ready Models Quickly!
NLP: How do you handle text data?
- [Instructor] In this chapter we are going to explore AutoML for Text Data. Text Data is abundant today in the form of posts on social media, policy documents in organizations, news articles on websites, and so on. Ever so often, we want to process this data to gain some kind of information from it, and perhaps take an automated action or decision. For example, an organization may want a chat bot, to use policy documents to answer questions that employees ask about operating procedures. The field that caters to text, as well as speech, is called Natural Language Processing. The goal with natural language processing, is to help computers process text and speech the way that we as humans do. And several tasks are domiciled on that field. We have sequence labeling tasks such as named entity recognition, machine translation, and speech to text. The current state of the art results…
随堂练习，边学边练
下载课堂讲义。学练结合，紧跟进度，轻松巩固知识。
下载课程离线学习
下载课程到移动设备，轻松离线学习。在领英学习 iOS 或安卓版 APP 下载课程
内容
-
-
-
-
-
-
(已锁定)
NLP: How do you handle text data?1 分钟 51 秒
-
(已锁定)
Introducing HugginFace AutoTrain4 分钟 31 秒
-
(已锁定)
Formatting and uploading your data for your task3 分钟 16 秒
-
(已锁定)
Training your AutoNLP model and making predictions7 分钟 3 秒
-
(已锁定)
Challenge: Multi-class text classification1 分钟 5 秒
-
(已锁定)
Solution: Multi-class text classification4 分钟 45 秒
-
(已锁定)
-