![Natural Language Processing [Sneak Peek]](https://pixhost.icu/avaxhome/f3/ce/005dcef3_medium.jpg)
Natural Language Processing [Sneak Peek]
![Natural Language Processing [Sneak Peek]](https://pixhost.icu/avaxhome/f3/ce/005dcef3.jpg)
Natural Language Processing [Sneak Peek]
.MP4, AVC, 3400 kbps, 1280x720 | English, AAC, 192 kbps, 2 Ch | 2h 21m | 4.13 GB
Instructor: Bruno Goncalves
.MP4, AVC, 3400 kbps, 1280x720 | English, AAC, 192 kbps, 2 Ch | 2h 21m | 4.13 GB
Instructor: Bruno Goncalves
The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
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
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
![Natural Language Processing [Sneak Peek]](https://pixhost.icu/avaxhome/f4/ce/005dcef4_medium.jpg)
Natural Language Processing [Sneak Peek]
![Natural Language Processing [Sneak Peek]](https://pixhost.icu/avaxhome/f4/ce/005dcef4.jpg)