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[ FreeCourseWeb com ] LiveLessons - Natural Language Processing, 2nd Edition
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Bonus Resources.txt
Lesson 1 Text Representation
1.1 One-hot Encoding.mp4
1.2 Bag of Words.mp4
1.3 Stop Words.mp4
1.4 TF-IDF.mp4
1.5 N-grams.mp4
1.6 Working with Word Embeddings.mp4
1.7 Demo.mp4
Topics.mp4
Lesson 2 Text Cleaning
2.1 Stemming.mp4
2.2 Lemmatization.mp4
2.3 Regular Expressions.mp4
2.4 Text Cleaning Demo.mp4
Topics.mp4
Lesson 3 Named Entity Recognition
3.1 Part of Speech Tagging.mp4
3.2 Chunking.mp4
3.3 Chinking.mp4
3.4 Named Entity Recognition.mp4
3.5 Demo.mp4
Topics.mp4
Lesson 4 Topic Modeling
4.1 Explicit Semantic Analysis.mp4
4.2 Document Clustering.mp4
4.3 Latent Semantic Analysis.mp4
4.4 LDA Natural.mp4
4.5 Non-Negative Matrix Factorization.mp4
4.6 Demo.mp4
Topics.mp4
Lesson 5 Sentiment Analysis
5.1 Quantify Words and Feelings.mp4
5.2 Negations and Modifiers.mp4
5.3 Corpus-based Approaches.mp4
5.4 Demo.mp4
Topics.mp4
Lesson 6 Text Classification
6.1 Feed Forward Networks.mp4
6.2 Convolutional Neural Networks.mp4
6.3 Applications.mp4
6.4 Demo.mp4
Topics.mp4
Lesson 7 Sequence Modeling
7.1 Recurrent Neural Networks.mp4
7.2 Gated Recurrent Unit.mp4
7.3 Long Short-term Memory.mp4
7.4 Auto-encoder Models.mp4
7.5 Demo.mp4
Topics.mp4
Lesson 8 Applications
8.1 Word2vec Embeddings.mp4
8.2 GloVe.mp4
8.3 Transfer Learning.mp4
8.4 Language Detection.mp4
8.5 Demo.mp4
Topics.mp4
Natural Language Processing Introduction.mp4
Natural Language Processing Summary.mp4
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