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Quality assurance is the process of ensuring that data meets a certain minimum standard of quality before it is used for analysis. […]

Natural Language Processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. […]

Vocabulary, in the broadest sense, is the set of all words used in a language. In the text analytics industry, the term […]

Clustering is the process of grouping data points together so that points within a group are more similar to each other than […]

In the context of text analytics, regression is a technique used to predict a numeric value, such as a price or quantity. […]

Hash is a term with various meanings in different industries. In the context of text analytics, a hash is a value that […]

AI Governance is a term that is used in the text analytics industry to refer to the process of managing and regulating […]

Profit is a measure of the financial performance of a company. It is typically calculated by subtracting the cost of goods sold […]

Mixed Reality (MR) is a digital technology that combines the best of both physical and virtual worlds. It blurs the lines between […]

Stop words are words that are filtered out before or after the processing of natural language data (text). Though “stop words” usually […]

Topic modeling is a text analytics technique that is used to identify and extract the major topics from a text document. It […]

Text mining is the process of extracting valuable information from text data. This can be done through a variety of methods, including […]