Advanced Settings for Custom Models

Understand advanced options and parameters for custom classifiers and extractors

10 articles in this collection
Written by Raul Garreta, Hernán Correa Suárez, and Riley Maguire
Classifiers

Changing Algorithms

Choose the classifier algorithm to use with your model: Multinomial Naive Bayes or Support Vector Machines
Written by Raul Garreta
Updated over a week ago

N-gram range

Change this setting to take into account more complex expressions
Written by Hernán Correa Suárez
Updated over a week ago

Language Settings

Using other languages in your classifier
Written by Riley Maguire
Updated over a week ago

Max Features

Change the number of features, or things to look for, in your classifier model
Written by Hernán Correa Suárez
Updated over a week ago

Preprocessing Social Media and Regular Expressions

Read this if you want to process social media content.
Written by Hernán Correa Suárez
Updated over a week ago

Preprocessing Numbers

Read this is you want to know what the preprocessing of numbers does and what it is useful for
Written by Hernán Correa Suárez
Updated over a week ago

Whitelisting Words

Read this if you want to know what the whitelist parameter is and what it is useful for.
Written by Hernán Correa Suárez
Updated over a week ago

Stemming

Toggle "stemming" to transfer words to their root forms
Written by Hernán Correa Suárez
Updated over a week ago

Normalize Weights

Use this when there might be way more texts in some tags than others
Written by Hernán Correa Suárez
Updated over a week ago

Filter Stopwords

Toggle and list the stopwords that the model will ignore for classification
Written by Hernán Correa Suárez
Updated over a week ago