Month 1: Introduction to Natural Language Processing (NLP)
Introduction to NLP and its Applications
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Text Preprocessing and Tokenization
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Text Normalization and Lemmatization
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Part-of-Speech Tagging
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Named Entity Recognition
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Month 2: Language Modeling and Text Classification
N-gram Language Models
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Sentiment Analysis and Opinion Mining
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Document Classification Techniques
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Feature Extraction for Text Classification
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Topic Modeling (LDA, LSA)
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Month 3: Information Retrieval and Text Similarity
Vector Space Models (TF-IDF)
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Cosine Similarity and Document Similarity Measures
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Latent Semantic Indexing (LSI)
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Word Embeddings (Word2Vec, GloVe)
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Document Retrieval and Search Engines
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Month 4: Syntax and Parsing
Context-Free Grammars
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Constituency Parsing (CKY, Earley)
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Semantic Role Labeling
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Coreference Resolution
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Month 5: Advanced NLP Techniques
Named Entity Disambiguation
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Sentiment Analysis beyond Polarity
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Aspect-based Sentiment Analysis
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Text Summarization and Text Generation
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Machine Translation and Language Generation
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Month 6: Advanced NLP Applications
Question Answering Systems
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Text-to-Speech and Speech-to-Text Conversion
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Natural Language Understanding for Chatbots
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Emotion Analysis and Sentiment Intensity Prediction
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Ethical Considerations in NLP
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