The introductory section of a tutorial content.
This recipe explores how to analyze a corpus for the locations that are written about within it. These results can be mapped to visualize the spatial focus of the corpus. This recipe is based off of an iPython notebook by Matthew Wilkins.
This recipe uses Python and the NLTK to explore repeating phrases (ngrams) in a text. An ngram is a repeating phrase, where the 'n' stands for 'number' and the 'gram' stands for the words; e.g. a 'trigram' would be a three word ngram.
This recipe helps you explore how to analyze a text based on its parts of speech (e.g. nouns, adjectives, prepositions, etc.).
This recipe uses Python and WordNet to explore meaning in a text.
This recipe shows how to graph data in Python using the Matlablib library.
This recipe shows how to create a basic concordance tool in Python.
This recipe shows how to perform Collocation on a text, finding which words collocate with a search term.
This recipe shows how to scrape comments from a YouTube video to analyze.