Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Natural Language Processing


Improving Laboratories Efficiency through Website Using Text Mining

Abeer Tariq

Engineering and Technology Journal, 2013, Volume 31, Issue 2, Pages 171-184

Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
This research aim to present a proposed text mining system customized to improve laboratories efficiency. This is done by taking the electronic comments and e-mails produced to the organization web as inputs for that proposed mining system. The proposed text miner is customized for emails and comments written to the organization. For that the basic text mining algorithm will almost be modified by adding new steps, modify some steps by customizing Natural Language Processing (NLP), data mining techniques and building the document database. The proposal applied on the Computer Sciences Department Web and the results obtained are suitable to be published.

A Natural Language Steganography Technique for Text Hiding Using LSB's

Hana; a M. Salman

Engineering and Technology Journal, 2008, Volume 26, Issue 3, Pages 351-364

Steganography is the art of hiding, and transmitting information using
apparently innocent carrier without expose any suspicion. This paper present a
natural language steganography technique, which is different from all the natural
language steganography technique, that uses structure of the sentence constituents
in natural language text in order to insert a secret hidden information, or all others
techniques, which hide information by modifying the appearance of text elements,
such as lines, words, or characters. The proposal technique use the secret hidden
text information to generated the stego-cover carrier text by using algorithms
depend on natural language processing, particularly text generation field. A survey
for natural language terminology, techniques, and tools for text processing, a
natural language steganography technique and its difficulties to implement
methods like LSB's is presented. The results shows that, the proposal technique is,
a successful one in implementing methods like, LSB's for natural language bit
steganography .