The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general unrestricted texts. State of the art spelling correction systems, e.g. ispell, apart from detecting spelling errors, also assist the user by offering a set of candidate corrections that are close to the misspelled wor...

The SVM classifier has been used in many methods to identify emotions in text due to their good generalization capability and robustness with high dimensionality data. However, most textual corpora usually subject to such methods are naturally imbalanced. As a consequence, the SVM, sensitive to imbalance data, assigns to most texts the majority class. In this article, we present a Genetic Algor...

In this paper, the authors study the parameter sensitivity of the technique of particles warm optimization (PSO) for the clustering of data, in particular the text. They experienced the PSO parameters by varying within a range of research and we noted the best result of clustering based on three measures of assessment, internal, which is the index of Davies and Bouldin and two external based on...

We estimate the n-gram entropies of natural language texts in word-length representation and find that these are sensitive to text language and genre. We attribute this sensitivity to changes in the probability distribution of the lengths of single words and emphasize the crucial role of the uniformity of probabilities of having words with length between five and ten. Furthermore, comparison wi...

Due to the rapid development of distributed computing systems, use local networks, and huge expansion Internet, process maintaining confidentiality information becomes important necessary. Encryption is one most ways keep confidential prevent unauthorized people from disclosing this information. Many cryptographic algorithms have appeared in different methods. But these been devoted for encrypt...