Natural Language Processing Fundamentals Online Course
Natural Language Processing Fundamentals
If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.
You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots.
By the end of this course, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The course will easily equip you with the knowledge you need to build applications that interpret human language.
Course Curriculum
Introduction to NLP
- Course Overview
- Lesson Overview
- Introduction to NLP
- Various Steps in NLP – Part I
- Various Steps in NLP – Part II
- Lesson Summary
Basic Feature Extraction Methods
- Lesson Overview
- Types of Data
- Cleaning Text Data – Part I
- Cleaning Text Data – Part II
- Feature Extraction from Texts
- Feature Engineering
- Lesson Summary
Developing a Text Classifier
- Lesson Overview
- Machine Learning – Part I
- Machine Learning – Part II
- Developing a Text Classifier
- Building Pipelines for NLP Projects
- Saving and Loading Models
- Lesson Summary
Collecting Text Data from the Web
- Lesson Overview
- Collecting Data by Scraping Web Pages
- Requesting Content from Web Pages
- Dealing with Semi-Structured Data
- Lesson Summary
Topic Modeling
- Lesson Overview
- Topic Discovery
- Topic Modeling Algorithms
- Topic Fingerprinting
- Lesson Summary
Text Summarization and Text Generation
- Lesson Overview
- Automated Text Summarization
- High-Level View of Text Summarization
- TextRank
- Summarizing Text Using Different Methods
- Lesson Summary
Vector Representation
- Lesson Overview
- Vector Definition
- Encoding
- Word Embeddings and Vectors
- Lesson Summary
Sentiment Analysis
- Lesson Overview
- Sentiment Analysis
- Sentiment Analysis Tools
- TextBlob
- Understanding Data for Sentiment Analysis
- Training Sentiment Models
- Lesson Summary
