Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a...

over a logical knowledge database. A document retrieval system consists of a database of documents, a classification algorithm to build a full text index...

Superintendent of Documents Classification, commonly called as SuDocs or SuDoc, is a system of library classification developed and maintained by the...

event model typically used for document classification, with events representing the occurrence of a word in a single document (see bag of words assumption)...

is technically not a classification level. Though this is a feature of some classification schemes, used for government documents that do not merit a particular...

multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word...

61355-1 Classification and designation of documents for plants, systems and equipment describes rules and guidelines for the uniform classification and identification...

features. Such classifiers work well for practical problems such as document classification, and more generally for problems with many variables (features)...

standardized document classification and automated information extraction Cui, Lei; Xu, Yiheng; Lv, Tengchao; Wei, Furu (2021). "Document AI: Benchmarks...

Categorization Classification (general theory) Decimal classification Document classification Information retrieval Knowledge organization Library management...

a query classification algorithm. However, the computation of query classification is non-trivial. Different from the document classification tasks, queries...

information, redaction attempts to reduce the document's classification level, possibly yielding an unclassified document. When the intent is privacy protection...

paper documents or importing electronic documents, often for the purposes of feeding advanced document classification and data collection processes. Most...

includes self-supervised learning, generative adversarial networks, document classification and translation, and computer vision. FAIR released Torch deep-learning...

displaying short descriptions of redirect targets Document classification – Process of categorizing documents Drug discovery and development – Process of bringing...

Potthast, Martin (2023). "Trigger Warning Assignment as a Multi-Label Document Classification Problem". Proceedings of the 61st Annual Meeting of the Association...

classification of things or concepts, as well as to the principles underlying such work. Thus a taxonomy can be used to organize species, documents,...

as a document classification ontology, or simply as a way to describe any kind of document in RDF. It has been inspired by many existing document description...

the document using a scanner and the phase of interpreting the document, for example using natural language processing (NLP) or image classification technologies...

A document management system (DMS) is usually a computerized system used to store, share, track and manage files or documents. Some systems include history...

The Universal Decimal Classification (UDC) is a bibliographic and library classification representing the systematic arrangement of all branches of human...

See also: Baca & Harpring (2000) and Shatford (1986). Aboutness Document classification Subject indexing Subject access Subject term Topic-comment Saracevic...

field of information retrieval for measuring search, document classification, and query classification performance. It is particularly relevant in applications...

and classification The science of classification, in biology the arrangement of organisms into a classification "The science of classification as applied...

revolutionized NLP tasks like sentiment analysis, machine translation, and document classification. Computer vision: Image and video embeddings enable tasks like...

confidential. The U.S. no longer has a Restricted classification, but many other countries and NATO documents do. The U.S. treats Restricted information it...

In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, tries to identify objects of a specific class...

used to: Compare the documents in the low-dimensional space (data clustering, document classification). Find similar documents across languages, after...

evolution of language modelling. Consider a simple problem of document classification, where we want to assign a label (e.g., "spam", "not spam", "politics"...

processes. Using document scanning and document capture technologies, companies can digitise incoming mail and automate the classification and distribution...