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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.

Binomial

Binomial is used to refer to a two-category classification problem. That is, given a set of documents, the goal is to classify…

Discoverer

Discoverer is a software tool that helps analysts to find and explore patterns in data. Discoverer allows analysts to interactively query data,…

Augmented Analytics

Augmented Analytics is defined as a process that uses machine learning to automatically analyze and improve the quality of text data. There…

Descriptive Analytics

Descriptive Analytics is defined as the analysis of data to generate descriptive information about that data. This information can be used to…

Proximity Search

Proximity Search refers to a search method where the order of the search terms is taken into account. Proximity Search can be…

Key Ring

Key Ring refers to a software tool that allows users to manage and monitor their API keys. API keys are used to…

Venn Diagram

Venn Diagram is used to refer to a graphical representation of the relationships between sets of data. In this context, Venn Diagrams…

Link Analysis

Link analysis refers to a set of procedures for identifying relationships between items in a dataset. These relationships can be categorized according…

Semantic Analysis

Semantic analysis is the process of extracting meaning from text data. In the text analytics industry, semantic analysis is used to help…

Preprocessing

Preprocessing is the process of preparing data for analysis. This usually involves cleaning up the data, organizing it in a format that…

Lemma

Lemma (text analytics) refers to the process of determining the base form of a word. For example, the words “walk,” “walks,” “walking,”…

Core Facts

Core facts refer to the most important and relevant information in a text that can be used to derive meaning from it.…
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