Summary and Setup

This course introduces fundamental concepts and tools for working with large bodies of text and Natural Language Processing for musical discourse analysis.

Prerequisite

Before joining this training, participants should have:

– a broad understanding of cultural contexts for music, musical meaning, fandom, belonging.
– how those are represented in music and its paratexts.
– knowledge of music theory and discipline-specific terminology.

Lesson Objectives (In progress)

  1. define fundamental concepts in corpus linguistics and natural language processing
  2. investigate salient properties of datasets containing text about music found on the web
  3. detect relationships in dataset to be further processed
  4. evaluate results

FIXME: Setup instructions live in this document. Please specify the tools and the data sets the Learner needs to have installed.

Data Sets

Download the data zip file and unzip it to your Desktop

Software Setup

Details

Setup for different systems can be presented in dropdown menus via a solution tag. They will join to this discussion block, so you can give a general overview of the software used in this lesson here and fill out the individual operating systems (and potentially add more, e.g. online setup) in the solutions blocks.

Use PuTTY

Use Terminal.app

Use Terminal