Table 1 Open in new tab A glossary of...

Term

Definition

F₁ score

A measure of a model’s accuracy that considers both precision and recall. The F₁ score is the harmonic mean of precision and recall, providing a single metric that balances both

Natural language processing (NLP)

NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It includes a variety of techniques that help to extract meaning from narrative data

Neural network

A computational model inspired by the human brain, consisting of layers of interconnected nodes (neurons). Neural networks are capable of learning complex patterns from data

Supervised machine learning model

A type of machine learning where the model is trained on a labelled data set. The algorithm learns to map input data to the correct output based on examples provided during training

Text mining

Text mining is a scientific process that delves into unstructured text data to uncover valuable insights and knowledge. In this procedure, large amounts of text data are examined and interpreted using NLP techniques.

Unsupervised machine learning model

A type of machine learning where the model is trained on data without labelled responses. The algorithm tries to learn the patterns and structure from the input data itself

Word embedding model

A word embedding model is a type of NLP technique used to represent words as numerical vectors in a multidimensional space. These vectors capture the semantic meaning of words based on their context in a corpus of text

Table 1

Open in new tab

A glossary of technical terms

Term	Definition
F₁ score	A measure of a model’s accuracy that considers both precision and recall. The F₁ score is the harmonic mean of precision and recall, providing a single metric that balances both
Natural language processing (NLP)	NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It includes a variety of techniques that help to extract meaning from narrative data
Neural network	A computational model inspired by the human brain, consisting of layers of interconnected nodes (neurons). Neural networks are capable of learning complex patterns from data
Supervised machine learning model	A type of machine learning where the model is trained on a labelled data set. The algorithm learns to map input data to the correct output based on examples provided during training
Text mining	Text mining is a scientific process that delves into unstructured text data to uncover valuable insights and knowledge. In this procedure, large amounts of text data are examined and interpreted using NLP techniques.
Unsupervised machine learning model	A type of machine learning where the model is trained on data without labelled responses. The algorithm tries to learn the patterns and structure from the input data itself
Word embedding model	A word embedding model is a type of NLP technique used to represent words as numerical vectors in a multidimensional space. These vectors capture the semantic meaning of words based on their context in a corpus of text

Term	Definition
F₁ score	A measure of a model’s accuracy that considers both precision and recall. The F₁ score is the harmonic mean of precision and recall, providing a single metric that balances both
Natural language processing (NLP)	NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It includes a variety of techniques that help to extract meaning from narrative data
Neural network	A computational model inspired by the human brain, consisting of layers of interconnected nodes (neurons). Neural networks are capable of learning complex patterns from data
Supervised machine learning model	A type of machine learning where the model is trained on a labelled data set. The algorithm learns to map input data to the correct output based on examples provided during training
Text mining	Text mining is a scientific process that delves into unstructured text data to uncover valuable insights and knowledge. In this procedure, large amounts of text data are examined and interpreted using NLP techniques.
Unsupervised machine learning model	A type of machine learning where the model is trained on data without labelled responses. The algorithm tries to learn the patterns and structure from the input data itself
Word embedding model	A word embedding model is a type of NLP technique used to represent words as numerical vectors in a multidimensional space. These vectors capture the semantic meaning of words based on their context in a corpus of text

This Feature Is Available To Subscribers Only