课程描述
NLP – Natural Language Processing with Python is the name of a course on the Udemy website that teaches how to implement and manage natural language processing ( NLP ) with Python. During this course you will learn how to use machine learning and deep learning science alongside the Spacy, NLTK and SciKit-Learn libraries to manage natural language processing. This course will teach you all the topics you need to become an NLP expert in Python.
NLP – Natural Language Processing with Python 是 Udemy 网站上的一门课程的名称，该课程教授如何使用 Python 实施和管理自然语言处理 (NLP)。在本课程中，您将学习如何使用机器学习和深度学习科学以及 Spacy、NLTK 和 SciKit-Learn 库来管理自然语言处理。本课程将教授您成为 Python NLP 专家所需的所有主题。
You will learn the basics at the beginning of this course and learn how to work with text and PDF files in Python. You will then learn about the applications of the NLTK and Spacy libraries and use them for tokenization, parsing, and authentication. The tutor also teaches you the topic of tagging word components, which is an important part of building intelligent language systems, using Python scripts to automatically classify words.
您将在本课程开始时学习基础知识，并学习如何在 Python 中处理文本和 PDF 文件。然后，您将了解 NLTK 和 Spacy 库的应用程序，并将它们用于标记化、解析和身份验证。导师还教大家标注词成分的题目，这是构建智能语言系统的重要一环，使用Python脚本自动对词进行分类。
You\’ll also learn how to let your code understand concepts like money, time, product, etc., and use the Scikit-Learn library to build machine learning systems. The course also covers advanced topics such as emotional analysis of texts and modeling and also uses in-depth learning to build dialogue robots.
您还将学习如何让您的代码理解金钱、时间、产品等概念，并使用 Scikit-Learn 库构建机器学习系统。该课程还涵盖高级主题，例如文本的情感分析和建模，还使用深度学习来构建对话机器人。
Courses taught in this course:; 本课程讲授的课程：
- Implementation and management of natural language processing by Python
- Python自然语言处理的实现与管理
- Use machine learning and deep learning
- 使用机器学习和深度学习
- Using the Spacy, NLTK and SciKit-Learn libraries
- 使用 Spacy、NLTK 和 SciKit-Learn 库
- Working with text and PDF files in Python
- 在 Python 中处理文本和 PDF 文件
- Tokenization, decomposition, and identity identification
- 标记化、分解和身份识别
- Labeling components of speech
- 标记语音成分
- Use Python scripts to automatically classify words
- 使用Python脚本自动分类单词
- Emotional analysis of texts and modeling
- 文本情感分析与建模
- Making chat robots
- 制作聊天机器人
NLP course specifications – Natural Language Processing with Python:; NLP 课程规范——使用 Python 进行自然语言处理：
- English language
- 英语
- Duration: 11 hours 24 minutes
- 持续时间：11 小时 24 分钟
- Number of courses: 79
- 课程数量：79
- Tutor: Jose Portilla
- 导师：何塞波蒂利亚
- File format: mp4
- 文件格式：mp4
Course headings:; 课程标题：
79 lectures 11:24:38
79 讲 11:24:38
Introduction
4 lectures 21:58
介绍 4 讲座 21:58
Python Text Basics
8 lectures 01:20:00
Python 文本基础 8 讲 01:20:00
Natural Language Processing Basics
13 lectures 01:44:26
自然语言处理基础13讲01:44:26
Part of Speech Tagging and Named Entity Recognition
9 lectures 01:16:36
词性标注与命名实体识别9讲 01:16:36
Text Classification
13 lectures 01:51:19
文本分类13讲01:51:19
Semantics and Sentiment Analysis
8 lectures 01:04:19
语义与情感分析 8 讲 01:04:19
Topic Modeling
9 lectures 01:07:50
主题建模 9 个讲座 01:07:50
Deep Learning for NLP
15 lectures 02:38:11
NLP 深度学习 15 个讲座 02:38:11
课程描述
- Understand general Python
- 了解通用Python
- Have permissions to install python packages onto computer
- 有权将 python 包安装到计算机上
- Internet connection
- 网络连接
课程描述
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课程描述
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English subtitle
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Quality: 720p
画质：720p
课程描述
