📍 R-Ladies Bergen
Text data provides an oasis of information for both researchers and non-researchers alike to explore. Natural Language Processing (NLP) methods help make sense of this difficult data type, which is written text. The talk will give you a smooth introduction to the quanteda package. I will also showcase how to quickly visualize your text data and cover both supervised and unsupervised approaches in NLP. As part of a code demo, we will use text data from the UN as a working example to give you first insights into the structure of text data and how to work with it.
You can access the material here:
| Slides | Code (raw) | Code (deployed) | Recording |
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This repository contains:
├── code
│ ├── code_full.Rmd
│ ├── code_full.html
│ └── terms.png
├── data
│ ├── UN-data.RData
│ └── policy_agendas_english.lcd
├── figures
│ ├── stm-evaluation.png
│ └── terms.png
└── nlp-rladies-bergen.Rproj