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Getting Started with Natural Language Processing with Python (2016)

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Getting Started with Natural Language Processing with Python (2016)
Getting Started with Natural Language Processing with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 43M | 240 MB
Genre: eLearning | Language: English

This course is all about taking raw text data and deriving insights and value from it–processing text data using standard techniques in Natural Language Processing and Machine Learning.

Text data is available in abundance on the Internet, whether it be reviews, tweets, surveys, web pages or emails. Natural language processing is a powerful skill that helps you derive immense value from that data. In this course, Getting Started with Natural Language Processing with Python, you'll first learn about using the Natural Language Toolkit to pre-process raw text. Next, you'll learn how to scrape websites for texting using BeautifulSoup, as well as how to auto-summarize text using machine learning. You'll wrap up the course by exploring how to classify text using machine learning. By the end of this course you'll be able to confidently process raw text data and apply machine learning algorithms to it.

Getting Started with Natural Language Processing with Python (2016)

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  1. Python自然语言处理入门 文本数据在互联网大量地存在着,如平铺、博文、调查、网页或邮件。自然语言处理是一项强大技术,它可以帮助你从中提取出巨大的价值。在本教程中,你将首先学习使用Natural Language Toolkit预处理原始文本。接下来,你将学习如何使用BeautifulSoup从网站上截取文本,以及自动地使用机器学习总结文本。通过使用机器学习,你将学习如何分类文本。学习完本教程,你将能够自信地处理原始文本数据,并应用机器学习算法。
    wilde(特殊组-翻译)3周前 (11-18)