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 uses Frequency lists and an Aggregate Text tool to build meta tags for a web page or website.
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 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 takes a text and explores its use of theory by using tools such as Word list, Concordance, and Collocation.
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 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 and explores the use of colloquial words within it using tools such as Aggregate, Concordance, Co-occurrence and Collocation.