Natural Language Processing (NLP) in Python

您是否想知道像Google，Amazon或Facebook这样的大公司如何处理文本数据？

自然语言处理是当今数据科学和分析领域最令人兴奋的领域之一。使计算机能够理解单词和短语的能力是一项技术创新，它为诸如信息检索，翻译或文本分类之类的任务带来了巨大的转变。

在本课程中，我们将学习在Python中使用文本数据的基础知识，并讨论开始自然语言处理之旅时应了解的最重要的技术。本课程是为绝对初学者设计的-意味着在假设学生没有任何关于该学科的先验知识的情况下，我们将在授课过程中解释与我们在课程中要讲的有关NLP的所有内容。

如果您不太了解Python代码，请不要担心-本课程还包含一个Python速成课程，可以帮助您熟悉该语言并支持我们将在整个讲座中使用Python开发的其余用例。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 111 lectures (13h 8m) | Size: 5.5 GB
Learn NLP and Text Mining by creating word vectors and do sentiment analysis using Word2Vec, NLTK and Neural Networks

What you’ll learn:
Dealing with Strings in Python
Working with the Natural Language Toolkit Library
Understanding the Intuition behind Word Vectors
Pre-Processing Text for Analytics
Understanding Text Vectorization
Train a Neural Network to generate Word Embeddings
Obtain Text Data from Web Pages
Read Files with Textual Data
Developing a Sentiment Analysis Tool
Train a Machine Learning Model

Requirements
Internet Access
Computer with at least 4 GB of RAM

Description
Have you ever wondered how big companies like Google, Amazon or Facebook work with textual data?

Natural Language Processing is one of the most exciting fields in Data Science and Analytics nowadays. The ability to make a computer understand words and phrases is a technological innovation that brought a huge transformation to tasks such as Information Retrieval, Translation or Text Classification.

In this course we are going to learn the fundamentals of working with Text data in Python and discuss the most important techniques that you should know to start your journey in Natural Language Processing. This course was designed for absolute beginners – meaning that everything regarding NLP that we are going to speak in the course will be explained during the lectures, assuming that the student does not have any prior knowledge in the subject.

Don’t worry if you don’t know Python code by heart – this course also contains a Python crash course that will help you to get familiar with the language and support the rest of the use cases that we will develop with Python throughout the lectures. In this course we are going to approach the following concepts:

Working with the raw material of Natural Language Processing – strings – in Python;

Tokenizing Sentences and Documents;

Stemming and Lemmatizing words;

Training machine learning models using text;

Extracting the Part-of-Speech Tag from words in a sentence;

Extracting Text Data from a Web Page;

Training a Neural Network to extract Word Embeddings;

Developing your own sentiment classifier (Sentiment Analysis);

Representing Sentences as Tabular Data;

After finishing the course you should able to build your own NLP applications and also understand most of the fundamental concepts that are the base of most NLP algorithms. This will give you the flexibility to study more advanced Natural Language Processing concepts and also enable you to get familiar with the strategies and techniques that most companies have used when they started their NLP applications.

Join me in this exciting NLP journey and I’m looking forward to see you in the course!

Who this course is for
Beginner Python Developers
Experienced Python Developers Interested in learning NLP
Data Engineers
Data Scientists
Business Analysts