[UDM] Text Mining & Optical Character Recognition with Python Course (Feb 2025) + Resources

Put the Power of Text Mining and OCR to Work
The Text Mining & Optical Character Recognition with Python Course helps you discover Natural Language Processing (NLP) and computer vision by providing detailed coverage in the Python programming language. You will learn the basics of text mining and frameworks such as tokenization, removal of stopwords, stemming, lemmatization, TF-IDF, topic modeling, sentiment analysis, text summarization, entity recognition, and spam or plagiarism detection. You will also discover the fundamentals of Optical Character Recognition (OCR), where the familiar libraries (EasyOCR, Tesseract, and Pytesseract) will be used to extract text from images and documents.

Make Real Projects in Real Steps
Learning is always simplified when it is practical, and the Text Mining & Optical Character Recognition with Python Course has great projects that you may utilize in the real world. You will make your own systems to categorize news, review items, summarize academic documents, find sentence keywords to use in SEO, as well as even identify plagiarism or spam. OCR-wise, you will be implementing such projects as license plate recognition, handwriting recognition, and receipt reading. Some other applications include language detection, client feedback analysis using VADER, and structured data extraction of lab reports.

Learn by Doing, No Prior Experience Required
The Text Mining & Optical Character Recognition with Python Course is intended for all individuals who possess some basic knowledge of Python and Pandas- no prior advanced skills of text mining or OCR are necessary. The lessons presented are a combination of understandable explanations of concepts involved and practical exercises that one can use with immediate effect. You will not only end up knowing how to make use of text mining as well as OCR, but you will also be able to create your own powerful business, research, or personal applications.