Recent
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.
Collinearity
In the text analytics industry, Collinearity is a term used to describe the relationship between two or more variables. Variables can be…
Hypothesis Testing
Hypothesis Testing is used to determine whether a null hypothesis can be rejected or not. The null hypothesis is the assumption that…
Fiscal Year
Fiscal Year (or financial year, or accounting year) is defined as the period of time that a company uses to measure its…
Clitic
Clitic is defined as a word that depends grammatically on another word or phrase. Clitics are typically shorter and carry less meaning…
Data Source
Data source is defined as the location where the data is coming from. This could be a database, a social media platform,…
Business Management
Business Management refers to the process of analyzing text data in order to extract insights that can be used to improve business…
Digital Ethics
Digital Ethics is the study of the ethical implications of digital technology and its impact on society. It includes issues such as…
Spoliation
Spoliation is defined as the process of altering or destroying evidence, typically for the purpose of hiding something or making it difficult…
Failover
Failover is often confused with other similar terms, such as high availability (HA) and disaster recovery (DR). However, there are some key…
Anomaly
In the text analytics industry, Anomaly is a term used to describe a data point that falls outside of the expected range.…
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,…