Custom text analysis engine
A custom text analysis engine is a software application that is designed to process and analyze text data for a specific purpose. […]
Corpus topic probabilities
Corpus topic probabilities refers to the probability that a given topic will be present in a document, based on the presence of […]
Common communication layer
The common communication layer is an industry-specific term that refers to a software component that allows different text analytics applications to exchange […]
Common analysis structure consumer
The term common analysis structure consumer is used to describe someone who reads and analyzes texts for the purpose of extracting information. […]
Common analysis structure
The common analysis structure, or CAS, is a framework that is used to organize and interpret text data. This framework is particularly […]
Character normalization
Character normalization is the process of converting different character forms into a single form. The purpose of this is to reduce the […]
Boost Class
The term “boost class” is used in the text analytics industry to refer to a group of terms that are given extra […]
Bi Variant
The term “Bi Variant” is used in the text analytics industry to mean a word or phrase that has two different possible […]
Base annotators
The term “base annotators” is used to refer to the algorithms or models that are used to provide the initial annotations for […]
Bag-of-n-grams model
The Bag-of-n-grams model is a statistical language model for text prediction that is used in the text analytics industry. This model predicts […]
Open Computer Vision
Open Computer Vision and programming functions are tools for text analytics. OpenCV is an open source computer vision and machine learning software […]
Normalized form
Normalized form is defined as a process that is used to convert data into a standard format. This standard format allows for […]