文本自动分类是信息检索与数据挖掘领域的研究热点与核心技术, **年来得到了广泛的关注和
快速的发展. 提出了基于机器学**的文本分类技术所面临的互联网内容信息处理等复杂应用的 …

Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

Область современного информационного поиска чрезвычайно разнообразна. Она
включает такие задачи, как собственно поиск информации, фильтрация, рубрикация и …

Most text analysis and retrieval work to date has focused on the topic of a text; that is, what it
is about. However, a text also contains much useful information in its style, or how it is …

Text mining refers to the discovery of previously unknown knowledge that can be found in
text collections. In recent years, the text mining field has received great attention due to the …

Current text classification systems typically use term stems for representing document
content. Semantic Web technologies allow the usage of features on a higher semantic level …

This paper explores a method that use WordNet concept to categorize text documents. The
bag of words representation used for text representation is unsatisfactory as it ignores …

The fuzzy lattice reasoning (FLR) classifier is presented for inducing descriptive, decision-
making knowledge (rules) in a mathematical lattice data domain including space RN …