This recipe will show how to generate basic concordances of a word and showing it within a textual context. We will use "find and replace" strategy known as regular expressions in this approach. Regex, as it is also known is universal to most programming languages and is a well documented method of parsing text. This recipe is based on Jinman's cookbook.
This recipe uses Python and WordNet to explore meaning in a text.
This recipe shows how to create a basic concordance tool in Python.
This recipe uses Voyant Tools to explore vocabulary change over time in a corpus of 7 Canadian Throne Speeches (from 2006 to 2013).
This recipe takes a text and explores the use of colloquial words within it using tools such as Aggregate, Concordance, Co-occurrence and Collocation.
This is a recipe to build a simple concordance from a text.
This recipe uses an Aggregate Text tool, frequency lists, Concordance and Collocation tools to explore how a writer’s use of language changes over a lifetime.
This recipe takes a text and explores its use of theory by using tools such as Word list, Concordance, and Collocation.
This recipe takes a text which is rich in concepts and uses tools such as Word frequency, Concordance, Co-occurrence and Collocation to explore a specific concept.
This recipe takes a text with known syntactic dependencies and explores those using tools such as Word List, Concordance, Co-occurrence and Collocation.