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Word scores are a measure of how important a word is to a document or collection of documents. This importance can be […]

Word embedding layer is a type of neural network layer used to map words to vectors of real numbers. The vectors can […]

The definition of weighted term search in text analytics is a method of searching for terms in a text where the relevance […]

Watson(IBM) is a computer system designed to answer questions posed in natural language, developed by IBM. It uses a combination of artificial […]

A Virtual Personal Assistant-Enabled Wireless Speaker is a type of software that allows a user to interact with a digital assistant using […]

Video/Image Analytics is the extraction of meaning from video and images through automated means. This can be done through the use of […]

Uplift or persuasion modeling is a statistical technique used to model the effects of treatments on binary outcomes, in order to optimize […]

Unstructured Information Management Architecture (UIMA) is a platform-independent architecture for managing unstructured information and providing analytical services over that information. UIMA enables […]

An unknown variable is a term used in text analytics to refer to a word or phrase that cannot be identified with […]

Unicode-based white space segmentation is the process of breaking up a string of text into smaller pieces, or tokens, based on whitespace. […]

Uni Variate is defined as a single variable that is used to predict or explain a dependent variable. In other words, Uni […]

A trailing character is defined as a character that appears at the end of a word or phrase. This type of character […]