Research ArticleOpen accessEvery word in the titleTEXT SIGNAGE RECOGNITION IN ANDROID MOBILE DEVICESOi-Mean Foong, Suziah Sulaiman, Kiing Kiu LingThis study presents a Text Signage Recognition (TSR) model in Android mobile devices for Visually Impaired People (VIP). Independence navigation is always a challenge to VIP for indoor navigation in unfamiliar surroundings. Assistive Technology such as Android smart devices has great potential to assist VIPs in indoor navigation using built-in speech synthesizer. In contrast to previous TSR research which was … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,700 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleText Steganography Based on Font Type in MS-Word DocumentsWesam Bhaya, Abdul Monem Rahma, Dhamyaa AL-NasrawiWith the rapid development of Internet, safe covert communications in the network environment become an essential research direction. Steganography is a significant means that secret information is embedded into cover data imperceptibly for transmission, so that information cannot be easily aware by others. Text Steganography is low in redundancy and related to natural language rules these lead to limit manipulation … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 8,482 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSignificant Term List Based Metadata Conceptual Mining Model for Effective Text ClusteringJ. Janet, S. Koteeswaran, E. KannanAs the engineering world are growing fast, the usage of data for the day to day activity of the engineering industry also growing rapidly. In order to handle and to find the hidden knowledge from huge data storage, data mining is very helpful right now. Text mining, network mining, multimedia mining, trend analysis are few applications of data mining. In … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,087 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical Bayesian Learning for Automatic Arabic Text CategorizationBassam Al-Salemi, Mohd. Juzaiddin Ab AzizProblem statement: The rapid increasing of online Arabic documents necessitated applying Text Categorization techniques that are commonly used for English language to categorize them automatically. The complex morphology of Arabic language and its large vocabulary size make applying these techniques directly difficult and costly in time and effort. Approach: We have investigated Bayesian learning models in order to enhance Arabic … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,399 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSexting, Texting, Cyberbullying and Keeping Youth Safe OnlineRobin D'Antona, Meline Kevorkian, Ashley RussomProblem statement: The issue of cyberbullying is one that has raised the concerns of parents, educators and law enforcement. Today children have cell phones with internet access as young as age eleven and some have cell phones as young as age eight making them all vulnerable to cyberbullying. Approach: The aim of this study was to explore differences between third, … …Journal of Social Sciences, Vol. 6, Issue 4 · 23 Oct 2010 · 13,565 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text SummarizationUday Kulkarni, Rajesh Shardanand PrasadProblem statement: Text summarization takes care of choosing the most significant portions of text and generates coherent summaries that express the main intent of the given document. This study aims to compare the performances of the three text summarization systems developed by the authors with some of the existing Summarization systems available. These three approaches to text summarization are based … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 8,489 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated Clustering and Feature Selection Scheme for Text Documents.M. Thangamani, P. ThangarajProblem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Approach: The feature selection techniques were used to improve the efficiency and accuracy of clustering process. The feature selection was done by eliminate the redundant and irrelevant items from the text document … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,163 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Short Text CompressionIman Omer, Khalaf KhatatnehProblem statement: Text compression permits representing a document by using less space. This is useful not only to save disk space, but more importantly, to save disk transfer and network transmission time. With the continues increase in the number of Arabic short text messages sent by mobile phones, the use of a suitable compression scheme would allow users to use … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,542 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical Part-of-Speech Tagger for Traditional Arabic TextsYahya O. Mohamed ElhadjProblem statement: This study presented the development of an Arabic part-of-speech tagger that can be used for analyzing and annotating traditional Arabic texts, especially the Quran text. Approach: It is a part of a project related to the computerization of the Holy Quran. One of the main objectives in this project was to build a textual corpus of the Holy … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,026 accessesView PDFCite