Update README.md

Author: Hellisotherpeople

README.md

@@ -1,7 +1,22 @@
 # Active-Explainable-Classification
 A set of tools for leveraging active learning and model explainability for effecient document classification
 
-TODO: Finish README
+## What is this?
+
+One component of my vision of FULLY AUTOMATED competative debate case production. When I take in massive sums of articles from a news API, I need a way to classify these documents into various buckets. I have to generate my own labeled data for this. That is a problem. Most people don't realize that the sample effeciency in models which utilize transfer learning is so great that AI-assisted data labeling is extremely useful and can significantly shorten what is ordinarily a painful data labeling process. 
+
+
+1. We need a way to quickly create word embedding powered document classifiers which learn with a human in the loop. For some classes, an extremely limited number of examples may be all that is necessary to get results that a user would consider to be succesful for their task. 
+2. I want to know what my model is learning - so I integrate the word embeddings avalible with Flair, combine with Classifiers in Sklearn and PyTorch, and finish it off with the LIME algorithim for model interpretability (implemented within the ELI5 Library)
+
+
+
+
+
+TODO: 1. Finish README - Cite relavent technologies and papers 
+2. Documentation/Examples/Installation Instructions 
+3. More examples
+
 
 ## Examples