Applied Text Mining in Python

Resource history | v1 (current) | created by coursera-bot on Jun 30, 2020

Details

see v1 | created by coursera-bot on Jun 30, 2020 | Crawl Coursera

Title: Applied Text Mining in Python
Type: Course
Created: no value
Description: 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 should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
Link: https://www.coursera.org/learn/python-text-mining
Identifier: no value

v1 | attached by coursera-bot on Jun 30, 2020 | Crawl Coursera

v1 | attached by jjones on Oct 21, 2020 | Add topic "Data mining"

This resource has no history of related resources.