Nikos Tsourakis Machine Learning Techniques for Text Reviews Summary
Ratings Breakdown
Rated 4.8 by 8 people
Pros from Reviews
- Balanced understanding and application
- Clear explanations and examples
- Covers a variety of techniques
- Practical examples and case studies
- Accessible to readers with different backgrounds
- Learn how to acquire and process textual data
- Obtain deeper insight into commonly used algorithms
- Implement models for solving real-world problems
Cons from Reviews
- None found
Notable Features
Text Processing
Dimensionality Reduction
Classification
Evaluation
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