Project Description

Our project will be a language processing tool that allows users to easily analyze online or uploaded text using common text processing algorithms for topic modelling, sentiment, and comparative word frequency analyses. We hope to make it available both as a web application and browser extension. The web framework will use Django. The tool will be available for anyone to use for free, but will primarily be developed for digital humanities researchers. The primary goal is to make already created text-processing libraries available to researchers (and curious readers) who would otherwise not be able to use it. The tool will likely highlight or underline text words that the algorithm defines as critical to the meaning of the text (eg: in a term frequency analysis, the terms that show up the most; in a part-of-speech analysis, the words that are associated with particular parts of speech, in a topic modelling analysis, the words that provide the strongest information about the content of the text, etc.).