Recipes

Multiple Correspondence Analysis (MCA) is a data analysis technique that can detect and represent the underlying structures of a dataset. In terms of textual analysis, we can identify and graph...

In this recipe, we measure a corpora to determine authorship of the featured texts and visualize them by authorship. We will use...

This recipe uses regular expressions (or Regex) to clean a text document. This recipe is based on the Using Regular Expressions to Clean a Text code.

This recipe will use regular expressions to clean up a webpage. This is useful if you want to carry out any meaningful textual analysis of the content in a web page. We can remove the html tags...

This recipe will show you how to classify text into general topics. We will use supervised machine learning model called Support Vector Machines (...

This recipe with show you how to prepare Voronoi diagrams, one way of showing relationships between words in a text and a search term. In order to do this, we will employ the use of word...

This recipe will show how to generate basic concordances of a word and showing it within a textual context. We will use "find and replace" strategy known as...

Multidimensional Scaling (MDS) is a method to convert sets of document terms into a data frame that can then be visualized. The distances expressed in the visualization show how similar, or...

Principal Component Analysis (PCA) is a method to convert sets of document terms into a data frame that can then be visualized. The distances expressed in the visualization show how similar, or...

Similar to finding People and Characters, finding locations in text is a common exploratory...

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