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Natural Language Processing

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Natural Language Processing

Natural Language Processing
.MP4, AVC, 3400 kbps, 1280x720 | English, AAC, 192 kbps, 2 Ch | 2h 21m | 4.13 GB
Instructor: Bruno Goncalves

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Introduction

Lesson 1: Text Representations

Learning objectives

1.1 Represent words and numbers

1.2 Use one-hot encoding

1.3 Implement bag-of-words

1.4 Apply stop words

1.5 Understand TF/IDF

1.6 Understand stemming

Lesson 2: Topic Modeling

Learning objectives

2.1 Find topics in documents

2.2 Perform explicit semantic analysis

2.3 Implement document clustering

2.4 Implement Latent Semantic Analysis

2.5 Understand non-negative matrix factorization

Lesson 3: Sentiment Analysis

Learning objectives

3.1 Quantify words and feelings

3.2 Use negations and modifiers

3.3 Use corpus-based approaches

Lesson 4: Applications

Learning objectives

4.1 Understand word2vec word embeddings

4.2 Define GloVe

4.3 Apply language detection

Summary
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