Text Classification with Elasticsearch
Build a classification system using the same features that make Elasticsearch perfect for search.
Course summary
This course will be retired as of September 1, 2021 please complete prior to this deadline.
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Text analysis, tokenization, and stop word removal is as much a function of search as it is of classification, making Elasticsearch the perfect tool for text classification. This course will teach you how to build a classification system using the same features that make Elasticsearch so powerful for search. After exploring precision, recall, F1 scoring, fallback mechanisms and more, you will learn how to use tools like percolation and significant terms aggregation to build better text classification systems in your own use case.
This course is a module of the Data Science specialization. Find out how our focused Training Specializations can help you with your use case.
- Topics
- Audience
- Duration
- Pre-reqs
- Requirements
Topics
- Designing Classification Systems with the Elastic Stack
- Query Optimization with Significant Terms Aggregations
- Using Percolators for Classification
- Fallback Planning
Topics
Audience
Duration
Pre-Reqs
Requirements
See full, ,Text Classification with Elasticsearch, ,schedule
Course type
On-Demand