Download Intelligently Extract Text & Data from Document with OCR NER

Intelligently Extract Text & Data from Document with OCR NER

Description

Intelligently Extract Text & Data from Document with OCR NER, the training course on intelligently extracting text and data from documents with NER OCR, has been published by Udemy Academy. In this course you will learn how to create a nominal identifier. The main idea of ​​this course is to extract identity from scanned documents such as invoice, business card, shipping bill, bill of lading etc. However, for the sake of data privacy, we have limited our views to business cards. But you can use the described framework for all kinds of financial documents. In the computer vision module, we scan the document, locate the text, and finally extract the text from the image. Then, in natural language processing, we extract the desired content and clean the text, as well as analyze the entities that make up the text.

Considering the combination of two main technologies for project development, we divide the path into several development stages for easy understanding. Step 1: We will launch the project by doing the necessary installation and requirements. Step-2: We will prepare the data. That is, using Pytesseract, we will extract the text of the images and also perform the necessary cleaning. Step 3: We will see how to tag NER data using BIO tagging. Step 4: We further clean the text and pre-process the data for machine learning training. Step 5: We will train the named identity model with the pre-processed data. Step-6: Using NER and the model, we predict titles and create a data pipeline for text analysis.

What you will learn

  • Development and training of identity recognition model
  • Not only extract text from image, but also extract information from business card.
  • Development of business card scanning like ABBY from scratch
  • High level data preprocessing techniques for natural language problem
  • Real Time NER programs

Who is this course suitable for?

  • A person who wants to develop a business card reading application
  • Data Scientist, Analyst, Python Developer who want to improve their skills in NLP.

Course specifications Intelligently Extract Text & Data from Document with OCR NER

Head of the seasons of the course on 2023-2

Course prerequisites

  • Should be at least a beginner in Python
  • Understand aggregation techniques with Pandas DataFrames
  • Read, Write Images with OpenCV and Draw Rectangles on Image
  • Understand HTML, Bootstrap

Pictures

Intelligently Extract Text & Data from Document with OCR NER

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 530 MB

File(s) password: www.downloadly.ir

Size

2.54 GB

4.2/5 – (1657 points)

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