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ICTAI
2007
IEEE
16 years 27 days ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
PRICAI
2000
Springer
15 years 10 months ago
A Comparative Study on Chinese Text Categorization Methods
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
Ji He, Ah-Hwee Tan, Chew Lim Tan
IJNSEC
2007
121views more  IJNSEC 2007»
15 years 6 months ago
Data Hiding in a Kind of PDF Texts for Secret Communication
In this paper, we present a novel steganographic technique for hiding data in a kind of PDF texts. We first point out the secret channels in a kind of PDF English texts, which ar...
Shangping Zhong, Xueqi Cheng, Tierui Chen
ECAI
2010
Springer
15 years 4 months ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt
ICIP
2009
IEEE
15 years 4 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
Michele Merler, John R. Kender