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
Welcome aboard your inaugural voyage into the vibrant world of Natural Language Processing (NLP) and Text Mining! This course offers a risk-free foray (backed by a 30-day refund policy) into the fundamental concepts that serve as the bedrock for the text data operations of tech giants like Google, Amazon, and Microsoft.
Text mining has become a cornerstone of modern Data Science and Analytics. The profound leap in technology that allows a machine to understand words and phrases has revolutionized tasks like Information Retrieval, Translation, and Text Classification. I'm here to help you navigate these waters and jump from the foundational aspects of classical NLPinto the misterious realms of Generative AITools (such as ChatGPT).
Our journey will take us from the classical to the neural, exploring the evolution of language processing techniques. We'll begin with traditional statistical methods and work our way up to the cutting-edge world of deep learning and neural networks. By linking theory with practical exercises, I hope to guide you through the NLPWorld.
Don't fret if Python isn't your forte yet - included in this course is a crash course in Python that will acquaint you with the language and provide the necessary foundation for the rest of the topics we'll cover.
The course will illuminate a variety of key NLP concepts including:
Manipulating the basic building blocks of NLP - 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;
Upon completing this course, you'll be equipped with the skills to construct your own basic NLP applications, and you'll have a strong understanding of the fundamental concepts underlying most NLP algorithms. This knowledge will open doors to more advanced studies in NLP, while providing an understanding of the strategies and techniques utilized by companies when launching their NLP applications.
Embark on this exhilarating journey through the world of NLP with me. Whether you're a newcomer or an expert seeking to broaden your horizons, there's a place for you here. I'm eagerly looking forward to our adventure together in the course!
