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Chpt8AdvSeqModeling.ipynb
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DatabaseDashboard.ipynb
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KnowledgeGraph.ipynb
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LinearRegressionFunction.py
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Part1Introduction.ipynb
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Part2TraditionalNLP.ipynb
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Part3CompOfNN.ipynb
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Part4FFNets.ipynb
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Part5Embedding.ipynb
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Part6SequenceModeling.ipynb
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Part7IntSeqModeling.ipynb
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README.md
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RNN & LSTN-BiLSTN.ipynb
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Sentiment_Analysis_RNN_model.ipynb
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surnames_with_splits_sequence.csv
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Hritik Arasu NLP Lessons

Natural Language Processing Tutorial

Binder

Tutorial Guide

  1. Introduction
  2. Traditional NLP model
  3. Foundations of Neural Nets
  4. Feed-Forward Nets for NLP
  5. Embedding Words and Types
  6. Sequence Modeling
  7. Intermediate Sequence Modeling

Resources Used:

NLP with PyTorch

spaCy

PyTorch

NLTK

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Based on Build Intelligent Language Applications Using Deep Learning

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