Topic modelling, news classification, NER, sentiment analysis, keyword extraction, license plate recognition system
Sub Category
- Data Science
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Objectives
- 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
Pre Requisites
- No previous experience in text mining is required
- No previous experience in optical character recognition is required
- Basic knowledge in Python and Pandas
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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