Page Index - iffatAGheyas/NLP-handbook GitHub Wiki
56 page(s) in this GitHub Wiki:
- Home
- NLP Syllabus
- Part I: Foundational Concepts
- Part II: Core Techniques
- Part III: Advanced Deep-Learning Models
- Part IV: Cutting-Edge Research
- Lemmatization
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- Module 1 1 Morphology Stems and Affixes
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- Module 1 2 Tokenization Regex and Rule based Methods
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- Module 1 3 Finite State Automata
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- Module 1 4 Phase Structure Trees
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- Module 1 Linguistic and Computational Foundations
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- Module 2 1 Probability Theory and Bayes Rule
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- Module 2 2 N gram Language Models and Smoothing
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- Module 2 3 Sequence Probability and Chain Rule
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- Module 2 4 Evaluation Cross Entropy and Perplexity
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- Module 2 5 Naive Bayes Text Classification
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- Module 2 Probability and Statistics for NLP
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- Module 3 1 Text Cleaning and Normalization
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- Module 3 2 Stemming and Lemmatization
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- Module 3 3 Bag of Words and Count Vectors
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- Module 3 4 TF IDF Representation
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- Module 3 5 Word Embeddings Word2Vec GloVe
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- Module 3 Text Preprocessing and Representations
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- Module 4 1 Feature Engineering n grams and POS Tags
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- Module 4 2 Naive Bayes Classifier
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- Module 4 3 Support Vector Machines
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- Module 4 4 Conditional Random Fields for Sequence Labeling
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- Module 4 5 Evaluation Precision Recall and F1 Score
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- Module 4 Classical Machine Learning for NLP
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- Module 5 Neural Network Fundamentals
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