Applied Text Mining in Python
Completed by Samuele Passalacqua
August 19, 2017
25 hours (approximately)
Samuele Passalacqua's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
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
- Category: Python Programming
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Model Training
- Category: Text Mining
- Category: Data Mining
- Category: Unstructured Data
- Category: Data Processing
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Data Manipulation
