NTRexample_FRevNCA

Example code producing novelty, transience, and resonance for a sample of legislative speech during the French Revolution, as documented in Individuals, Institutions, and Innovation in the Debates of the French Revolution.

See also the associated dataset!

Data

• example_FRev_speech_data_rawspeechonly_1790-06-01_1790-07-01.txt contains one month of raw speeches from the French Revolution Digital Archive.

Scripts

Get help on arguments for each python file via python <script name>.py -h.

• calculate_novelty_transience_resonance.py takes a text file of topic mixtures as rows and produces the three named measures.
• learn_topics.py produces topics, topic mixtures, and vocabulary given a text file, one document per row. In this example, documents are speeches.
• text_topic_ntr.py is a convenience script taking a file of documents, producing topics, and creating novelty, transience, and resonance in succession.
  • make_example_NTR.sh provides a command-line example for using this script.

Notebooks

• density_plots_TvN_RvN.ipynb creates density plots for transience v. novelty and resonance v. novelty.

Script requirements (versions used)

• python (2.7)
• numpy (1.13.1)
• scikit-learn (0.19.0)
• lda (1.0.5)

Notebook requirements

• jupyter (1.0.0)
• matplotlib (2.0.2)
• pandas (0.20.3)