Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

This paper presents a novel method of representing a text document by the use of interval
valued symbolic features. A method of classification of text documents based on the …

将传统的文本相似度量方法直接移植到短文本时, 由于短文本内容简短的特性会导致数据稀疏而
造成计算结果出现偏差. 该文通过使用复杂网络表征短文本, 提出了一种新的短文本相似度量 …

Internet has made a profound change in the lives of many enthusiastic innovators and
researchers. The information available on the web has knocked the doors of Knowledge …

In this paper, a simple and efficient symbolic text classification is presented. A text document
is represented by the use of interval valued symbolic features. Subsequently, a new feature …

We first analyzes the deviation when current similarity calculation methods for texts are
applied to short texts, and proposes a similarity calculation method for short texts based on …

Text classification has gained importance more than ever in the present day owing to the
huge amount of data generated with the advent of technology. There are a numerous well …

In this paper, we propose a new method of representing documents based on clustering of
term frequency vectors. For each class of documents we propose to create multiple clusters …

In many fields of science, IT applications and business environments successfully evolved
systems to receive vast amount of electronic data and information. Due to increasing …

In this paper, a simple and efficient symbolic text classification is presented. A text document
is represented by the use interval valued symbolic features. Subsequently, a new feature …