final project by angus, dom, james, katie, and miriam
This project examines a corpus of transcribed radio data for trends in mentioned locations relative to the location of the radio station. The corpus is built using the RadioTalk corpus, spacy, and geonames.
Final report is in ProjectReport.pdf.
Our main script requires the following packages to run:
geopandasgeoplotjsonloggingmatplotlibospandasshapely
To run our main script, set up a clean Conda Python 3.7 interpreter and run the following:
$ conda config --add channels conda-forge
$ conda config --set channel_priority strict
$ conda install -y -c conda-forge geoplot
$ python main.py
The main script will ask the user to choose a radio station, and will print the number of total locations mentioned, how many were inside and outside the state, how many were inside and outside the U.S., and the percentages for each of these. It also outputs a heatmap into the /maps/ directory. It then asks if the user would like to access the same information for one of the station's shows, and proceeds accordingly.
https://towardsdatascience.com/named-entity-recognition-with-nltk-and-spacy-8c4a7d88e7da