Text Mining & Optical Character Recognition with Python

🧵 Text Mining & Optical Character Recognition with Python - A Comprehensive Guide

🌍 Course Description:

Welcome to the "Text Mining & Optical Character Recognition with Python" course! This is not just another online course; it's a deep dive into the world of advanced text mining techniques through Natural Language Processing (NLP) and the intricacies of converting images containing text into machine-readable data using Computer Vision. With a focus on hands-on learning, you'll engage in project-based tasks that mirror real-world applications.

🚀 What You'll Learn:

In this course, you'll embark on an educational journey that includes:

1. Fundamentals of Text Mining:

   • Understanding the power and potential of text mining through practical examples.
   • Learning to collect and handle large datasets from platforms like Kaggle.
   • Mastering text preprocessing skills such as tokenization, stopwords removal, stemming, and lemmatization.

2. Fundamentals of Optical Character Recognition (OCR):

   • Exploring the world of OCR and its applications from image capture to output generation.
   • Learning to process images and identify regions of interest.
   • Building your own OCR systems with tools like EasyOCR and Tesseract for various use cases, including car license plates, handwriting, and receipts.

📚 Project-Based Approach:

Through a series of eight text mining projects and three OCR projects, you'll:

• Develop a Named Entity Recognition (NER) system for news articles.
• Create a topic modeling tool for academic research papers.
• Build a news article classification system using TF-IDF.
• Construct a text summarization system for research papers.
• Design a keyword extraction tool for Search Engine Optimization (SEO).
• Perform sentiment analysis on product reviews.
• Develop a plagiarism detection tool.
• Implement a spam email classification system.

🔍 OCR Projects:

• Craft a car license plate recognition system.
• Create a handwriting recognition system.
• Design a receipts scanner system to extract financial data.

🤖 Technologies and Libraries You'll Encounter:

• Natural Language Toolkit (NLTK): For text preprocessing, tokenization, stemming, lemmatization, etc.
• Spacy & Flair: For named entity recognition.
• Gensim & LDA: For topic modeling.
• Transformers & BART: For building advanced text summarizers.
• TextBlob & BERT: For sentiment analysis.
• EasyOCR and Tesseract: For Optical Character Recognition tasks.

🎓 Why Study Text Mining and OCR?

Understanding and utilizing text mining and OCR is crucial for businesses and researchers looking to convert unstructured text data into actionable insights. These technologies enable the automation of data extraction and analysis, leading to increased efficiency, reduced errors, and compliance with regulatory standards in fields like healthcare, finance, and legal.

💡 By completing this course, you'll:

• Gain a deep understanding of text mining and OCR techniques.
• Learn how to apply these skills to real-world problems using Python.
• Develop a portfolio of projects demonstrating your expertise in NLP and Computer Vision.
• Equip yourself with the tools and knowledge necessary to innovate in areas where text processing is key.

📅 Enroll Now and join us on this exciting learning adventure! Let's unlock the hidden insights within text data and transform images into structured, analyzable information. With this course, you're not just learning; you're preparing to lead in the field of NLP and Computer Vision. 🌟

Enroll today and take your first step towards mastering text mining and OCR with Python!