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Frequency is a measure of how often a term appears in a document. The terms can be single words, phrases, or even […]

Parsing is the process of analyzing a body of text in order to create a structured representation of its components. In the […]

Supervised learning is a process whereby a computer system is trained to recognize patterns in data. The system is “fed” a set […]

The term Relationship Extraction is used in the text analytics industry to refer to the process of extracting relationships from text data. […]

Sentiment Analysis (also called Opinion Mining) is the process of determining whether a piece of writing is positive, negative, or neutral. The […]

The term “Time Series” generally refers to a sequence of data points, usually measurements or observations, that are collected at regular intervals. […]

Unsupervised learning is a type of machine learning algorithm used to draw inferences from data that has not been labeled or classified. […]

Geometry is the study of shapes, sizes, and relative positions of objects in space. In text analytics, geometry may be used to […]

An algorithm is a set of instructions or rules that are followed in order to solve a problem or accomplish a task. […]

Metrics refers to a set of measurements used to evaluate or compare something. Metrics can be used to assess the performance of […]

In the context of text analytics, linguistics is the study of the relationship between language and meaning. This includes understanding how words […]

Structured Content is defined as content that can be parsed and analyzed by a computer for further processing. This type of content […]