Analysis of literature traditionally involves labor-intensive searches and reviews to identify connections, weigh evidence, and generate hypotheses. To address these challenges, we developed LitConnector, an open-source application that uses semantic relationships from annotated literature to provide an interactive way of reviewing literature collections. This tool enables investigators to focus on relevant subsets and uncover complex thematic connections that might be overlooked through conventional literature search methods.
Tags: systematic evidence mapping, systematic review, evidence synthesis, network analysis, literature review
To start the app using Docker, run:
docker-compose up -d
Next, navigate to http://localhost:8501/
- Python 3.9+
-
Create and activate a Python virtual environment
-
Install dependencies
pip install -e ".[dev]"
- Run the app
streamlit run src/app.py
The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.
If you have any questions, please reach out to Scott Lynn at [email protected]