This is the code repository for Natural Language Processing in Practice [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support enquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations.
This course will help you gain this skill by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications.
By the end of this tutorial, you’ll have a better understanding of NLP and will be able to transform data into actionable knowledge. You will also have worked on multiple examples that implement deep learning to solve real-world spoken-language problems.
- Build applications with Python, using the Natural Language Toolkit via NLP
- Create your own Chatbot using NLP
- Perform several Natural Language Processing tasks
- Classify text and speech using the Naive Bayes Algorithm
- Use various tools and algorithms to build real-world applications
To fully benefit from the coverage included in this course, you will need:
To fully benefit from the coverage included in this course, you will need:
● An understanding of basic Python.
This course has the following software requirements:
This course has the following software requirements:
● Pycharm Community
● Python 3.7
● Python 3.6
● NLTK
● KERAS
● SCIKIT LEARN
● NUMPY
● PANDAS
This course has been tested on the following system configuration:
● OS: Windows 10
● Processor: Dual Core 3.0 Ghz
● Memory: 16GB