With computer vision, data from documents
can automatically be identified and extracted. This technique
is valuable for companies with years of data locked in
legacy paper or PDF documents.
Use NLP to determine if statements are positive or negative and visualize explainable feature importances.
Generate text based on starter text you provide.
Given a paragraph of information and a question relating to it, predict a possible answer.
Create concise and descriptive document summaries using a Natural Language Processing 'Transformer' model
Use Natural Language Processing to identify important named entities
A simple Dash-based demo