Introduction to Text-Mining with Python 2 BeginnersNew
This session will introduce topic modelling. Topic modelling is looking for clusters of words that summarise the meaning of documents. We will talk about how to choose what sort of text mining you might want for your research. Some knowledge of Python is required, as gained from 'Introduction to Text-Mining with Python 1', or equivalent. No installations will be needed; we will use web services available in your browser to follow along with the examples.
- PhD students and staff at the University of Cambridge
- Some knowledge of Python is required, as gained from 'Introduction to Text-Mining with Python 1', or equivalent.
Number of sessions: 1
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Tue 7 May 2019 11:00 - 12:30 | 11:00 - 12:30 | Cambridge University Library, IT Training Room | map | Mary Chester-Kadwell |
- Presentation and small group discussion
- Participants should bring their own laptops
- One session of one and a half hours
Booking / availability