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Feature Extractor
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Classroom Contents
Getting Computers to Understand Us
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- 1 Introduction
- 2 Evolution of humancomputer interaction
- 3 Applications of computers
- 4 NLP
- 5 Sentiment Analysis
- 6 Traditional Approach
- 7 Stanford Sentiment Analysis
- 8 Classification
- 9 Training
- 10 Feature Extractor
- 11 Dialogue Classification
- 12 Extract Relations
- 13 Example
- 14 Challenges
- 15 Ambiguity
- 16 Ambiguous
- 17 How we solve ambiguity
- 18 Engram tagging
- 19 Words around it
- 20 Summary
- 21 Limitations
- 22 Unsupervised Training
- 23 Neural Nets
- 24 Data and Training
- 25 Conclusion
