University of OXford & University of camBRiDGE
...is a collective term for characteristics that the two institutions share.
Natural Language Processing
Estimated time to complete: 2h 21m
Topics: Natural Language Processing
Published by: Addison-Wesley Professional 2018
Published: Oct 2018
Scale: 87x50
Lecture Date: 10/2018
Lecture Link: https://goo.gl/VawyTr
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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
Sprache wählen 
Registrierte Benutzer können Text-, Hintergrund- und ANSI-Art-Farbe individuell anpassen! 
