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 extracts information about perceived social networks from a text populated with references to individuals.
This recipe uses Frequency lists, Concordance and Collocation to efficiently explore information from the web that has been made into an Aggregate text for a particular topic.
This recipe performs three different tasks:
(1) Plot the cumulative type/Token ratio in a text;
(2) Track the occurrence of a particular word in a text and plot all occurrences of the word in a dispersion plot;
(3) Show graphically the Relative frequency of the word across n equal sub-parts of the text and add to the plot chi-square and a dispersion measure (default is Juilland's D).
This is a recipe for annotating and presenting an image with TEI/TILE-compliant text.
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 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.