tkakar/FDA-Textmining

This project demonstrates a combination of rule-based and machine-learning-based Name Entity Extractors for Textual data

Project AERIS: A comprehensive tool for text mining FDA AERS narratives.

By: Dr. Elke Rundensteiner, Tabassum Kakar, Xiao Qin, Susmitha Wunnava, Vimig Socrates, Amber Wallace

Department of Computer Science, Worcester Polytechnic Institute Worcester, MA 01609

Usage

To run the program, please follow this tutorial first:

[How to use] (https://gitlab.com/vsocrates/FDA-Textmining/wikis/how-to-use)

For a single file:

Run:

python ProjectAERIS.py Test_Suite/Eval_Env/test_cases/short_example.txt output_file.xml Resources/config.json

For all files in a directory:

Run:

python TestCaseHandler.py

Directory paths are specified inside TestCaseHandler