Explanation
Intelligently extract text and data from OCR NER document Welcome to the course “Intelligently extract text and data from OCR NER document” !!! In this course you will learn how to develop a customized Agency identity. The main idea of this course is to generate scanned documents such as invoices, business cards, shipping bills, bill of lading documents etc. However, due to data privacy we have limited our view to Business Cards. But you can use the method described in all types of financial documents. Below is the curriculum we are following to develop the project. In the computer vision section, we will scan the document, identify where the text is written, and finally extract the text from the image. After natural language processing, we will extract the rights from the text and perform the necessary text cleaning and separate the text components.
How to combine two major technologies to develop the project, for the sake of easy understanding we divide the course into several stages of development. Phase -1: We will set up the project by doing the necessary installation and requirements. Stage -2: We will do data preparation. That is we will extract the text from the images using Pytesseract and we will also do the necessary cleaning Stage -3: We will see how to mark the NER data using BIO marking. Stage -4: We will further refine the script and prepare the data to train the machine learning. Step -5: On the previous data we will train the Entity Name pattern. Step -6: We will predict the right using NER and the model and create a data pipeline to classify the text.
What will you learn?
- Develop and train a Designated Entity Recognition Model
- Not only extract the text from the image but also extract the Business Card Agencies
- Create a business card scanner like ABBY from Scratch
- Advanced Data Preprocessing Techniques for Natural Language Processing
- NER Real Time Apps
Who is this course for?
- Anyone who wants to make a business card reader app
- Data Scientist, Analyst, Python Developer who wants to improve NLP skills
Specially extract text and data intelligently from OCR NER document
Includes 2023-2
Requirements
- He should at least start with Python
- Understand the techniques of combining Pandas DataFrames
- Read, Write Images with OpenCV and Drawing Rectangles with Image
- Understand HTML, Bootstrap
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
2.54 GB