Traditional aircraft maintenance support work is mainly based on structured data.
Unstructured data, such as text data, have not been fully used, which means there is a waste …

Short text clustering has great challenges due to the structural reasons, especially when
applied to small datasets. Limited number of words leads to a poor-quality feature vector …

To effectively process textual data, many approaches have been proposed to create text
representations. The transformation of a text into a form of numbers that can be computed …

Abstract One of the Natural Language Processing (NLP) studies that has been widely
researched is automatic text summarization. There are a lot of techniques and methods that …

Text Mining is the discovery of valuable, yet hidden, information from the text document. Text
classification (Also called Text Categorization) is one of the important research issues in the …

In this paper, we present a semi-supervised learning algorithm for classification of text
documents. A method of labeling unlabeled text documents is presented. The presented …

The paper introduces new features for describing possible focus variation in a
human/human conversation. The application considered is a real-life telephone customer …

Advances in digital technology and the World Wide Web has led to the increase of digital
documents that are used for various purposes such as publishing and digital library. This …

The tremendous growth of the Internet led to the development of million-million of
documents and so, there is a great need in developing tools that help users in searching the …

As data reported by humans about our world, text data play a very important role in all data
mining applications, yet how to develop a general text analysis system to sup-port all text …