This recipe takes a text and explores the tenses and senses of word usage by combining the use of a sense finding service, the 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.
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 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 recipe takes data provided by textual analysis tools and uses Microsoft Excel to create graphs to aid in its interpretation.
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 uses frequency list and Concordance tools to determine the impact and clarity of your own writing.
This recipe takes a text with known syntactic dependencies and explores those using tools such as Word List, Concordance, Co-occurrence and Collocation.
This is a recipe to use textual visualization tools such as a Word cloud or visual Collocation tool to identify streams of thought, trends and potential avenues for scholarly investigation.