Udemy – Intelligently Extract Text & Data from Document with OCR NER 2021-12

Published on: 2023-03-15 13:41:11

Categories: 28

Descriptions

Intelligently Extract Text & Data from Document with OCR NER Welcome to Course “Intelligently Extract Text & Data from Document with OCR NER” !!! In this course you will learn how to develop customized Named Entity Recognizer. The main idea of this course is to extract entities from the scanned documents like invoice, Business Card, Shipping Bill, Bill of Lading documents etc. However, for the sake of data privacy we restricted our views to Business Card. But you can use the framework explained to all kinds of financial documents. Below given is the curriculum we are following to develop the project. In Computer Vision module, we will scan the document, identify the location of text and finally extract text from the image. Then in Natural language processing, we will extract the entitles from the text and do necessary text cleaning and parse the entities form the text.

As are combining two major technologies to develop the project, for the sake of easy to understand we divide the course into several stage of development. Stage -1: We will setup the project by doing the necessary installations and requirements. Stage -2: We will do data preparation. That is we will extract text from images using Pytesseract and also do necessary cleaning Stage -3: We will see how to label NER data using BIO tagging. Stage -4: We will further clean the text and preprocess the data for to train machine learning. Stage -5: With the preprocess data we will train the Named Entity model. Stage -6: We will predict the entitles using NER and model and create data pipeline for parsing text.

What you’ll learn

Develop and Train Named Entity Recognition Model
Not only Extract text from the Image but also Extract Entities from Business Card
Develop Business Card Scanner like ABBY from Scratch
High Level Data Preprocess Techniques for Natural Language Problem
Real Time NER apps