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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.
N-gram
N-gram is a term used in the text analytics industry to refer to a sequence of items, typically words, that are processed…
Nominal
Nominal is a term used in the text analytics industry to refer to something that is not a number. Nominal data is…
Scraping
Scraping is the process of extracting data from sources that are not intended to be accessed or used in this way. This…
Optimization
Optimization is the process of choosing the best settings or configuration of a text analytics system to maximize its performance on a…
Field
The field is an area where you can enter control information or a specific set of data. Furthermore, fields are used to…
Parser
A parser is a program that analyzes text and breaks it down into smaller pieces so that further analysis can be conducted.…
Annotator
In the text analytics industry, annotator is a term used to refer to a person who provides labels or annotations for data.…
Lemmatize
To understand, it is best to understand the root word of lemmatize, which is “lemma”. Lemma is a unit of lexical meaning;…
Information Retrieval
The term Information Retrieval is most commonly used in the context of text analytics, where it refers to the process of extracting…
Electronically Stored Information
Electronically Stored Information (ESI) is defined as unstructured data that is stored electronically. This includes things like emails, text documents, images, and…
Certificate Authority
In the text analytics industry, certificate authority is a term used to refer to a third party that can verify the identity…
Network Analytics
Network Analytics is the process of using text analytics methods to analyze networks. This can be done for a variety of purposes,…