Natural language processing pipeline for book-length documents (archival Java version; for current Python version, see: https://github.com/booknlp/booknlp)
Add a new parameter alias type2score which can be used to set the score dictionary for both corpora at the same time in a WeightedAvgShift. Specifying a single dictionary using only type2score_1 is already possible, but a parameter type2score would be more natural. Just have to check if type2score is None, and if not, set type2score_1 as type2score. Existing code should then handle
Data from "Hamilton: An American Musical", formatted for reuse. See below for some interesting text analysis basic findings! I am not throwing away my stopword?
Grateful Data isn't programming code, but an online tutorial about data acquisition, cleaning and enriching, using publicly accessible data on the band the Grateful Dead as examples. Read the Wiki to find out how to use the sample data.
This research seeks to examine best practice in the field of digital editions by collating relevant evidence in a detailed catalogue of extant digital projects.
A set of add-ons for the Omeka content management system, designed specifically for location-based narrative content, and compatible with (optional) paid Curatescape mobile applications.
Add a new parameter alias
type2scorewhich can be used to set the score dictionary for both corpora at the same time in aWeightedAvgShift. Specifying a single dictionary using onlytype2score_1is already possible, but a parametertype2scorewould be more natural. Just have to check iftype2scoreisNone, and if not, settype2score_1astype2score. Existing code should then handle