TAPoR Portal Recipes
This page describes common or interesting sequences of actions, or recipes
, for the TAPoR portal.
They are organized according to the objective of the recipe. Recipes fall into the three categories of location and identification
of ideas, themes or specific terms; analysis
of textual devices or themes; or the construction
of new entities or corpus. There are also a set of three tutorial recipes
included to introduce three common and specific tasks using TAPoR
The TAPoR community benefits from shared experience and learning how others make use of the portal. You can share your experience by adding your own recipes to the collection. More information about recipe and exercise structure and authoring is available on the RecipeStructure
page. We also have a Glossary
that we hope you will add to.
If you feel you can improve a recipe, or find a problem with an existing recipe, please edit the existing recipe and indicate your name and the date at the bottom of the modified recipe or exercise. To edit a recipe you must be registered with TADA, but this is a relatively painless task and can be accomplished simply by messaging Stéfan Sinclair
. If you have hints, tips or would simply like to comment on how a recipe has worked for you, please add a comment at the bottom of the page in the comments box. This does not require a TADA account.
Locate and Identify
This recipe takes a text which is rich in themes and uses tools such as word frequency, concordance, and collocation
to identify simple themes.
This recipe uses tools such as concordance and co-occurrence
to identify syntactic dependencies within a text.
This recipe examines a text in a foreign language and demonstrates a strategic approach to comprehension using text analysis tools.
This recipe takes a French language text and adds it to a Text Analysis Workspace.
This recipe uses the Googlizer, word frequency lists, concordances and collocation
to efficiently explore information from the web for a particular topic.
This recipes takes a text with known themes and uses tools such as concordance, collocation, and co-occurrence
to elabourate upon and explore the context of themes in the text.
This recipe uses the Googlizer
Tool to generate Dynamically Aggregated Text
and then uses tools such as a word frequency list and concordance
to explore the results.
This recipe takes a text and explores the use of colloquial word within it using tools such as word list, concordance, and collocation
This recipe takes a text and explores its use of theory by using tools such as word list, concordance, and collocation
This recipe explores the tenses and senses of word usage in a text by combining the use of a sense finding service, and concordance and collocation Tools
This recipe takes a text with known syntactic dependencies and explores those using tools such as word frequency list, concordance, co-occurrence and collocation
This recipe extracts and examines a character’s dialogue from a play to explore a particular discourse in a linear fashion.
This recipe takes two texts which are suspected to be from the same author and compares them to determine similarities in structure, word usage and other textual patterns.
This recipe takes a text which is rich in concepts and uses tools such as word frequency list, concordance, co-occurrence and collocation
to explore a specific concept.
This recipe takes data provided by textual analysis tools and uses Microsoft Excel to create graphs to aid in its interpretation.
This recipe uses word frequency lists and concordance
to determine the impact and clarity of your own writing in meeting your intentions.
This recipe uses the Googlizer, word requency lists, concordances and collocation
to explore how a writer’s use of language changes over a lifetime.
This recipe uses WordClouds
and Visual Collocation
to efficiently explore scholarly trends for a particular concept.
This recipe uses List Words
and Find Collocate tools
to explore themes in blog discourse.
This recipe uses the TAPoR portal and the TAPoRize feature
to create and maintain an online bibliography.
This recipe uses word frequency lists and Googlizer
to build meta tags for a web page or website.
This recipe extracts information about perceived social networks from a text populated with references to individuals.
This recipe uses textual tools to extract key words to create an index and table of contents from a text.
This recipe takes a biographical text and uses tools such as the Googlizer and Date Finder
to provide a framework for a chronological timeline.
This recipe uses the TAPoR List Words Tool to identify themes in a text.
This recipe uses the TAPoR Concordance Tool to construct a concordance for a key word.
This recipe uses the TAPoR Collocates Tool to find collocated words for a key word.
Experimental Draft Recipes
This recipe uses the TAPoR Comparator and other tools to compare two texts.
- 18 April 2007