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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.
Frequency
Frequency is a measure of how often a term appears in a document. The terms can be single words, phrases, or even…
Parsing
Parsing is the process of analyzing a body of text in order to create a structured representation of its components. In the…
Supervised learning
Supervised learning is a process whereby a computer system is trained to recognize patterns in data. The system is “fed” a set…
Relationship Extraction
The term Relationship Extraction is used in the text analytics industry to refer to the process of extracting relationships from text data.…
Sentiment Analysis
Sentiment Analysis (also called Opinion Mining) is the process of determining whether a piece of writing is positive, negative, or neutral. The…
Time Series
The term “Time Series” generally refers to a sequence of data points, usually measurements or observations, that are collected at regular intervals.…
Unsupervised learning
Unsupervised learning is a type of machine learning algorithm used to draw inferences from data that has not been labeled or classified.…
Geometry
Geometry is the study of shapes, sizes, and relative positions of objects in space. In text analytics, geometry may be used to…
Algorithm
An algorithm is a set of instructions or rules that are followed in order to solve a problem or accomplish a task.…
Metrics
Metrics refers to a set of measurements used to evaluate or compare something. Metrics can be used to assess the performance of…
Linguistics
In the context of text analytics, linguistics is the study of the relationship between language and meaning. This includes understanding how words…
Structured Content
Structured Content is defined as content that can be parsed and analyzed by a computer for further processing. This type of content…