Large volumes of unstructured, free-text data such as patent applications, contain potentially valuable information for policymakers. Here we describe the pipeline used to process such data sources.
Read more on pyGrams: An open source tool for discovering emerging terminology in large text datasets
In this report, we focus primarily on how the pyGrams tool can be used to analyse terms through time using the time stamps in document metadata.
Read more on Discovering emerging important terminology in large text datasets using pyGrams: a comparison between net growth and e-score methods
We introduce pyGrams – a new Python tool for extracting, visualising and identifying emerging terms in large document collections, such as patents.
Read more on Extracting, visualising and identifying emerging important terminology from patent collections