Welcome to the website for Lexicoder, Java-based, multi-platform software for automated content analysis of text. The newest version of Lexicoder (v3.0), released in August 2015, was developed by Mark Daku, Stuart Soroka and Lori Young.
The most recentrent version of the software is freely available - for academic use only - here. Additions and revisions will also be released here as they become available. In addition, the Lexicoder Sentiment Dictionary, a dictionary designed to capture the sentiment of political texts, is available here formatted for Lexicoder and also adaptable to other content-analytic software. Note that for those working in R, one very straightforward way to implement the LSD is through quanteda package. Work on Topic Dictionaries, based on the Policy Agendas coding scheme, is also underway. All dictionaries are available on the Download page, alongside other supporting files, software and link from others.
In addition to Lexicoder software and dictionaries, this website includes links to research based on data generated in Lexicoder, and links to other resources for automated content analysis.
Funding for the initial version of both Lexicoder and the Lexicoder Sentiment Dictionary was provided by the McGill Institute for the Study of Canada, the McGill-Max Bell Foundation, the Donner Canadian Foundation, and the Fonds québécois de recherche sur la société et la culture.
The pre-processors used to improve results from the Lexicoder Sentiment Dictionary have been adapted for implementation in R, by Emily Luxon (University of Michigan at Dearborn), and are available from the downloads page.