Text Features
57 🏗️ Sequence Encoding

Feature Engineering A-Z

Preface
Introduction
Numeric Features
Categorical Features
Datetime Features
Missing Data
Text Features
Circular Features
Too Many Variables
Correlated Data
- 79 Correlated Overview
- 80 High Correlation Filter
Outliers
Imbalanced Data
Miscellaneous
Spatial
Time-Series Data
Image Data
Ralational Data
Video Data
- 138 Video Overview
- 139 🏗️ Temporary
Sound Data
- 140 Sound Overview
- 141 🏗️ Temporary
142 🏗️ Order of transformations
143 🏗️ What should you do if you have sparse data?
144 🏗️ How Different Models Deal With Input
145 🏗️ Summary
References

Table of contents

57.1 Sequence Encoding
57.2 Pros and Cons
- 57.2.1 Pros
- 57.2.2 Cons
57.3 R Examples
57.4 Python Examples

Edit this page
Report an issue
View source

Text Features
57 🏗️ Sequence Encoding

57 🏗️ Sequence Encoding

57.1 Sequence Encoding

WIP

57.2 Pros and Cons

57.2.1 Pros

57.2.2 Cons

57.3 R Examples

57.4 Python Examples

56 🏗️ Token Hashing

58 🏗️ LDA' class='pagination-link' href='/text-lda'> 58 🏗️ LDA

Edit this page
Report an issue
View source