This project is python based. Its aim is to find context around a given list of words in corpora, which can be divided. For now, it provides :

• Finder of words with their frequency
• Finder of word synonyms within the text
• Finder of sentences in which these words appear
• Sentiment analyser of these sentences
• Frequency of lemma in these sentences

This project needs

• Python 2 or superior
• Pattern.en, Website

The example is withdrawn from the Gutenberg Project. All credits to them.

• Copy elements of source folder in example
• Run test.py

• Pattern runs an error for a too large collection of chapters
• Only plaintext file are supported
• Only text using "CHAPTER" to introduce a new chapter are supported

This project has been developed during a one day code contest at the DARIAH Summer School 2013 in Goettingen (Germany) by

• Christopher Ohge
• Georg Roth-Kleyer
• Irina Savinetskaia
• Michael Ammon
• Nadine Hecht
• Thibault Clerice