Introduction to Text-Mining with Python 1

BeginnersNew

This session will introduce basic methods for reading and processing text files in Python. We will walk through an example that reads in a large text corpus, splits it into tokens (words) and sentences, removes unwanted words (stopwords), counts the words (frequency analysis), and visualises results. We will talk about the 5 steps of text mining and what resources to use when learning text mining for your research in your own time. No prior knowledge of Python is required, and no installations will be needed. We will use web services available in your browser to follow along.

• PhD students and staff at the University of Cambridge

Number of sessions: 1

• Presentation and small group discussion

Participants should bring their own laptops

• One session of one and a half hours

• Introduction to Text-Mining with Python 2