Document classification as a theoretical problem of documentology

A New Document Embedding Method for News Classification

Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...

Document Management as a Database Problem

1. Document Acquisition There is a broad spectrum of techniques how to acquire documents in such a way, that they are in computerreadable form and can be stored in a document base. This spectrum ranges from fully automatic at low cost via semiautomatic using tools like scanners and optical character recognition (OCR) to manual acquisition according to elaborate rules and regulations. The purpos...

A Study on the Document Zone Content Classification Problem

A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very important for the subsequent processes within any document image understanding system. This paper describes an algorithm for the determination of zone type of a given zone within an input doc...

CALIOP Algorithm Theoretical Basis Document Part 3: Scene Classification Algorithms

Modeling Interestingness of Streaming Classification Rules as a Classification Problem

Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be generally so huge that selection of interesting ones among all discovered rules becomes an important task. At each period, using the newly gathered information from the domain, the new classification rules are induced. Therefore, these rules stream th...