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 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 with known syntactic dependencies and explores those using tools such as Word List, Concordance, Co-occurrence and Collocation.
This recipe takes a French language text and adds it to the TAPoR workspace for textual analysis. This recipe ensures that the fundamental task of loading text into a text analysis environment is accomplished correctly. For proper analysis, the text must be interpreted by the computer in the same way in which you enter it, including accented characters. There are a variety of ways in which text can be encoded by operating systems and applications during text entry and storage.
This is a recipe for using Concordance tools to explore a Plain text corpus for topics or key words of interest, and generate a list of terms in Context for later analysis.
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 is a recipe for comparing two different texts, and exploring where they are similar and divergent in terms of words used, word distribution, theme and so on.
This recipe demonstrates how to use the command line 'Grep' command and regular expressions to find patterns within a plain text file.