The Natural Language Processing with Python training course is designed to demonstrate the concepts of Natural Language Processing (NLP) and to provide interactive experience dealing with text data.
The course begins with an overview of NLP and some key techniques in NLP. Next, it examines the spam detection code and sentiment analysis code in Python. The course concludes with an analysis using BERT for Q&A Systems.
Purpose
|
Promote an in-depth understanding on how to use Natural Language Processing in your Python applications. |
Audience
|
Data Scientists and Machine Learning Engineers looking to incorporate Natural Language Processing into their Python applications. |
Role
| Data Scientist - Software Developer |
Skill Level
| Intermediate |
Style
| Workshops |
Duration
| 5 Days |
Related Technologies
| Python | Machine Learning Training | Natural Language Processing |
Productivity Objectives
- Explain what is Natural Language Processing
- Access Text Corpora and Lexical Resources
- Process raw text
- Write structured programs
- Categorize and tag words
- Learn to to classify and extract information from text
- Analyze sentence structure and meaning
- Build a Spam Detector and Sentiment Analyzer
- Write Article Spinners
- Describe Deep Learning
- Utilize BERT