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Blogs.
We write regularly about different terminology and jargon you’ll hear in the text analytics industry. Join us in our blog to make the complex, simple.
Integration
Integration refers to the process of combining multiple data sources in order to provide a more complete picture of the information under…
Data Analytics
Data analytics is the process of analyzing data to extract useful information. In the text analytics industry, data analytics refers to the…
Type System
The term type system is used in the text analytics industry to refer to a set of rules that govern how words…
Text Analytics
Text analytics is the process of extracting meaning from text data in order to make informed decisions. The purpose of text analytics…
Hypothesis
A hypothesis is a proposed explanation for a phenomenon. In the context of text analytics, a hypothesis is a proposed explanation for…
Word Stemming
Word stemming is the process of reducing a word to its base form, typically for the purpose of analysis. For example, the…
Natural Language Generation
Natural Language Generation (NLG) is the process of converting data into human-readable text. This is done by using algorithms to generate sentences…
Dimensions
Dimensions refers to the number of distinct values that a particular variable can take on. For example, a variable such as “text…
Linear Regression
Linear Regression is a technique used to predict a future outcome based on past data. In the context of text analytics, Linear…
Innovation
Innovation can be defined as the process of applying new ideas or methods to create value. In the context of text analytics,…
Metadata
Metadata is defined as “data that provides information about other data”. In the context of text analytics, Metadata is often used to…
AI PaaS
AI PaaS is a term used to describe a platform that enables developers to build and deploy AI applications. The term is…