tbir_text_classification

Implementation of neural networks for text classification and ranking. Implementation of PCA for unsupervised learning.

The code is written in python 3.6

Setup

Install tensorflow

Install requirements

pip install -r requirements.txt

Download glove from https://nlp.stanford.edu/projects/glove/ and put the file glove.6B.100d.txt in a new folder 'word_embeddings'.

Set scenario in run.py or run_pca.py

Run code

python run.py

Name		Name	Last commit message	Last commit date
Latest commit History 72 Commits
data		data
figures		figures
main		main
models		models
scorer		scorer
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt
run.py		run.py
run_keras.py		run_keras.py
run_pca.py		run_pca.py