This repository contains around 600 French and Spanish brand names (words subdirectory), their contexts (up to 10,000) in JSI Timestamped Web corpus ( data/jsi_contexts subdirectory) and a streamlit app to explore these data (timeline, metadata distribution and evolution, lexico-syntactic patterns).
The streamlit app is publicly available here : Streamlit app.
First check you have Python 3.8+ and Github installed on your computer. Go to the parent folder where you would like to copy the repo then clone the repository
git clone https://github.com/ecartierlipn/brand_names_exploration.git
go to brand_names_exploration subdirectory and install the dependencies :
pip install -requirements.txt
Then run the streamlit app :
streamlit run data_exploration.py
The local installation enables to (manually) edit the word contexts before exploration (filename for each word : data/jsi_contexts/<fra|spa>_jsi_newsfeed_virt.<word>.complete_csv).
To retrieve the JSI Timestamped web corpus contexts for each word (or other words you would like to add) and parse the results before exploration, you can use sketchengine_extract_contexts_from_wordlist.py (you need to provide your sketchengine API key). You can add new words in word list in files in words subdirectory, just by adding a word in a new line.
-
Linguistic data (words): Natalia Soler
-
Linguistic data (word contexts): JSI Timestamped web corpus
-
Software : Emmanuel Cartier
Check requirements.txt file for python libraries.