This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).
This course is part of the Applied Data Science with Python Specialization
About this Course
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
- Natural Language Toolkit (NLTK)
- Text Mining
- Python Programming
- Natural Language Processing
Start working towards your Master's degree
Syllabus - What you will learn from this course
Module 1: Working with Text in Python
Module 2: Basic Natural Language Processing
Module 3: Classification of Text
Module 4: Topic Modeling
- 5 stars54.98%
- 4 stars25.10%
- 3 stars12.05%
- 2 stars4.41%
- 1 star3.44%
TOP REVIEWS FROM APPLIED TEXT MINING IN PYTHON
Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.
Passionate instructor and a great primer on how software can infer useful data from text. Gives a preliminary understanding on the algorithms used in scikit learn and nltk.
Course is well explained with practice exercise. Only suggestion is that for assignment there is no way to find why a particular output is wrong. There should be some hint for it.
The instruction and explanation of key concepts was fantastic, but the instruction on the actual coding was very lacking, even compared with the other courses in this specialization.
About the Applied Data Science with Python Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.