Recipe

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 provides a process for gathering a corpus of discourse about a cultural phenomenon from web sources, and then analyze it with a text analysis tool. The analysis will identify notable features in the text such as common words, examine these in context to identify its major topics and concepts, and enable forming hypotheses about the discourse and cultural phenomena within the corpus supported by textual evidence.

This recipe uses frequency list and Concordance tools to determine the impact and clarity of your own writing.

This recipe uses List Words, Concordance and Collocation tools to explore themes in blog discourse. It is important to keep individual blog entries around the same length to ensure consistent results when analyzing your compiled text.

This recipe takes two works purported to come from the same author and uses tools such as distribution, Word Lists, etc. to suggest whether they may have been created by the same author.

This recipe takes data provided by textual analysis tools and uses Microsoft Excel to create graphs to aid in its interpretation.

    This recipe uses an Aggregate Text tool to generate Dynamically Aggregated Text, and uses tools such as a frequency list and Concordance to explore the results.

    This is a recipe for identifying simple themes within a text by generating word lists, identifying synonyms and antonyms for words of interest, and exploring the final word list as they appear in Context via Concordance and Collocation tools.

     

    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 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.

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