Text Classification with Elasticsearch
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 instructor-led course will teach you how to build a classification system using the same features that make Elasticsearch so powerful for search.
Note: This course is a module of the Data Science specialization.
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.
- Designing Classification Systems with the Elastic Stack
- Query Optimization with Significant Terms Aggregations
- Using Percolators for Classification
- Fallback Planning
- Stable internet connection
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (Safari is not 100% supported)
Virtual Classroom Information
This instructor-led course is only taught in a virtual classroom environment. We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.
This course is a module of the Data Science specialization. Find out how our focused Training Specializations can help you with your use case.