Bag of Words is a lexical representation model where a document is expressed as a collection ...

Latent Semantic Analysis is a mathematical technique that uses Singular Value Decomposition (SVD) to reveal hidden ...

LDA is a Bayesian topic model that uncovers the latent structure of text. Instead of classifying ...

A document embedding is a fixed-length vector representation of an entire text, whether a sentence, paragraph, ...

A Sequence-to-Sequence (Seq2Seq) model is a neural network architecture designed to transform one sequence into another, ...

Text classification in NLP is the task of assigning predefined labels to a piece of ...

Information Extraction transforms unstructured text into structured forms, enabling downstream reasoning. It includes:Named ...

Machine Translation is the process of converting text in one language into another while preserving meaning, ...

Text summarization aims to condense content while preserving meaning. Two broad categories exist:

Pragmatics in search is the study of why a query was made and whether a ...