Chapter 4: Add a working demo/exercise re: text analysis

leighphan commented 5 months ago

Suggestions for Chapter 04 – What is Machine Learning good at? – Intro to AI for GLAM

This portion was of great interest to learners, specifically how this can be applied and where these concepts are being used in the learner's workplace.

Recommendations:

Incorporate working example projects in a live environment; this would provide demonstrated examples for lesson’s concepts.
It would be ideal to show several different demos of actual applications being used in GLAM space that learners can try on their own. For example, A working live demo using tools learners can play with such as Voyant, displaCy or some other graphical tool would be valuable.
On the topic of NLP, please add the term ‘Text Analysis’ in addition to (or taking precedence over) NLP as it may be a more familiar term for beginners.

Originally posted by @leighphan in https://github.com/carpentries-incubator/machine-learning-librarians-archivists/issues/82#issuecomment-1603360257

kjallen commented 5 months ago

Please also see https://github.com/carpentries-incubator/machine-learning-librarians-archivists/issues/93 for additional Chapter 4 suggestions

kjallen commented 5 months ago

Consolidating Chapter 4 requests from https://github.com/carpentries-incubator/machine-learning-librarians-archivists/issues/92

Request for adding another example to 'What is ML good at':

Sound recordings (ear witness, oral history)

carpentries-incubator / machine-learning-librarians-archivists

Chapter 4: Add a working demo/exercise re: text analysis #98