16 Applying Dictionaries
16.1 Objectives
- The basic idea of counting token and feature matches as equivalence classes
- Matching phrases
- Weighting dictionary applications
- Multi-lingual applications
- Scaling dictionary results
- Confidence intervals and bootstrapping
- Dictionary validation using
kwic() - Dictionary construction using
textstat_keyness()
Creating and revising dictionaries.
- key-value lists
- more details on pattern types
- the
phrase()argument - importing foreign dictionaries
- editing dictionaries - using dictionaries as
patterninputs to other functions - exporting dictionaries
- using dictionaries:
tokens_lookup()
16.2 Methods
Applicable methods for the objectives listed above.
16.3 Examples
Sentiment analysis.
16.4 Issues
Copyright.
Which format?
Weighted dictionaries.
Additional issues.
16.5 Further Reading
On-line sources of dictionaries.
QI’s quanteda.dictionaries package.
16.6 Exercises
Add some here.