ExpertSearch

To run the code, run the following command from ExpertSearch (tested with Python2.7 on MacOS and Linux):

gunicorn server:app -b 127.0.0.1:8095

The site should be available at http://localhost:8095/

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Crawl-n-Extract		Crawl-n-Extract
FacultyDataset-idx		FacultyDataset-idx
XGboost		XGboost
__pycache__		__pycache__
data		data
dl_models		dl_models
docker		docker
extraction		extraction
fully_trained_model		fully_trained_model
hari_data		hari_data
hari_data_processed		hari_data_processed
logistic_regression		logistic_regression
neural_network_ml_classifier		neural_network_ml_classifier
neural_network_ml_model		neural_network_ml_model
stanford-ner-2018-10-16		stanford-ner-2018-10-16
static		static
templates		templates
topic_modeller		topic_modeller
.gitignore		.gitignore
README.md		README.md
XGB.ipynb		XGB.ipynb
bert-embeddings-for-classification.pkl		bert-embeddings-for-classification.pkl
bert_model.ipynb		bert_model.ipynb
config.json		config.json
docker-compose.yml		docker-compose.yml
gunicorn_config.py		gunicorn_config.py
requirements.txt		requirements.txt
server.py		server.py
server.pyc		server.pyc
write_file_names.py		write_file_names.py
wsgi.py		wsgi.py

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