ConTEXT Explorer is an open Web-based system for exploring and visualizing concepts (combinations of co-occurring words and phrases) over time in the text documents. ConTEXT Explorer is designed to lower the barriers to applying information retrieval and machine learning for text analysis, including:
It is designed to be user-friendly, enabling researchers to make sense of their data without technical knowledge. Users may:
More details can be found in the user manual below.
Clone this repo to your local environment:
git clone https://github.com/alicia-ziying-yang/conTEXT-explorer.git
ConTEXT Explorer is developed using Plotly Dash in Python. We are using Python 3.7.5
and all required packages listed in requirement.txt
. To help you install this application correctly, we provide a conda environment file ce-env.yml
for you to set up a virtual environment. Simply enter the folder:
cd conTEXT-explorer
and run:
conda env create -f ce-env.yml
To activate this environment, use:
conda activate ce-env
Then, ConTEXT Explorer can be easily installed by:
pip install .
If you want to run ConTEXT Explorer on your local computer, comment the code for ubuntu server, and uncomment the last line in app.py
:
app.run_server(debug=False, port="8010") # local test
To start the application, use:
start-ce
or
python app.py
The IP address with app access will be displayed in the output.
If you want to run ConTEXT Explorer on an ubuntu server, use:
nohup python app.py &
A sample corpus with a saved analysis is preset in this app. Feel free to explore the app features using this example. Please check more details in the manual below.
Click here to view the paged PDF version
This application is designed and developed by Ziying (Alicia) Yang, Gosia Mikolajczak, and Andrew Turpin from the University of Melbourne in Australia.
If you encounter any errors while using the app, have suggestions for improvement, or want to contribute to this project by adding new functions or features, please submit an issue here and pull requests.