Natural Language Processing with Python

Month 1: Introduction to Natural Language Processing

• Introduction to Natural Language Processing
• Text Preprocessing and Cleaning
• Tokenization and Stemming
• Part-of-Speech (POS) Tagging and Named Entity Recognition (NER)
• Introduction to NLP Libraries in Python: NLTK and SpaCy

Month 2: Advanced NLP Techniques

• Text Classification using Machine Learning and Deep Learning models
• Sentiment Analysis using NLP
• Topic Modeling using Latent Dirichlet Allocation (LDA)
• Word Embeddings: Word2Vec and GloVe
• Building Chatbots using NLP

Month 3: Applications of NLP

• Text Summarization and Document Similarity
• Machine Translation using NLP
• Named Entity Recognition for Information Extraction
• Building Recommendation Systems using NLP
• NLP in Social Media Analytics