2023 Natural Language Processing in Python for Beginners - Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing
Created by Laxmi Kant
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Welcome to KGP Talkie's Natural Language Processing (NLP) course. It is designed to give you a complete understanding of Text Processing and Mining with the use of State-of-the-Art NLP algorithms in Python.
We will learn Spacy in detail and we will also explore the uses of NLP in real life. This course covers the basics of NLP to advance topics like word2vec, GloVe, Deep Learning for NLP like CNN, ANN, and LSTM. I will also show you how you can optimize your ML code by using various tools of sklean in python. At the end part of this course, you will learn how to generate poetry by using LSTM. Multi-Label and Multi-class classification is explained. At least 12 NLP Projects are covered in this course. You will learn various ways of solving edge-cutting NLP problems.
What you'll learn
- Learn complete text processing with Python
- Learn how to extract text from PDF files
- Use Regular Expressions for search in text
- Use SpaCy and NLTK to extract complete text features from raw text
- Use Latent Dirichlet Allocation for Topic Modelling
- Use Scikit-Learn and Deep Learning for Text Classification
- Learn Multi-Class and Multi-Label Text Classification
- Use Spacy and NLTK for Sentiment Analysis
- Understand and Build word2vec and GloVe based ML models
- Use Gensim to obtain pretrained word vectors and compute similarities and analogies
- Learn Text Summarization and Text Generation using LSTM and GRU
