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.
Quality Assurance
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
Natural Language Processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages.…
Vocabulary
Vocabulary, in the broadest sense, is the set of all words used in a language. In the text analytics industry, the term…
Clustering
Clustering is the process of grouping data points together so that points within a group are more similar to each other than…
Regression
In the context of text analytics, regression is a technique used to predict a numeric value, such as a price or quantity.…
Hash
Hash is a term with various meanings in different industries. In the context of text analytics, a hash is a value that…
AI Governance
AI Governance is a term that is used in the text analytics industry to refer to the process of managing and regulating…
Profit
Profit is a measure of the financial performance of a company. It is typically calculated by subtracting the cost of goods sold…
Mixed Reality
Mixed Reality (MR) is a digital technology that combines the best of both physical and virtual worlds. It blurs the lines between…
Stops Words
Stop words are words that are filtered out before or after the processing of natural language data (text). Though “stop words” usually…
Topic Modeling
Topic modeling is a text analytics technique that is used to identify and extract the major topics from a text document. It…
Text Mining
Text mining is the process of extracting valuable information from text data. This can be done through a variety of methods, including…