What you’ll learn
- Learn the basic fundamentals of text mining and its use cases
- Learn the basic fundamentals of optical character recognition and its use cases
- Learn how text mining works. This section covers data collection, text preprocessing, feature extraction, text analysis and modeling
- Learn how optical character recognition works. This section covers image preprocessing, text localization, character segmentation, character recognition
- Learn how to do tokenization and remove stopwords using NLTK
- Learn how to perform stemming, lemmatization, and text localization using NLTK
- Learn how to build named entity recognition system using Spacy and Flair
- Learn how to perform topic modeling using Gensim and LDA
- Learn how to build news article classification using TF-IDF
- Learn how to build text summarizer using Transformers and BART
- Learn how to extract keywords using Rake NLTK and Spacy
- Learn how to perform sentiment analysis using TextBlob and BERT
- Learn how to build plagiarism detection tool using TF-IDF & Cosine Similarity
- Learn how to build spam email detection tool using support vector machine
- Learn how to do image processing and identify region of interest
- Learn how to build car license plate recognition system using EasyOCR
- Learn how to build handwriting recognition system using EasyOCR
- Learn how to build receipt scanner system using Tesseract
How to Enroll Text Mining & Optical Character Recognition with Python course?
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