<p style='text-indent:20px;'>We study bifurcations in finite-parameter families of vector fields on <inline-formula><tex-math id="M1">\begin{document}$S^2$\end{document}</tex-math></inline-formula>. Recently, Yu. Ilyashenko, Kudryashov, and I. Schurov provided examples (locally generic) structurally unstable id="M2">\begin{document}$3$\end{document}</tex-math...

In this paper, we propose a web document ranking method using topic modeling for effective information collection and classification. The proposed is applied to the technique avoid duplicated crawling when at high speed. Through technique, it feasible remove redundant documents, classify documents efficiently, confirm that crawler service running. enables rapid of many documents; user can searc...

Text classification involves deciding whether or not a document is about a given topic. It is an important problem in machine learning, because automated text classifiers have enormous potential for application in information retrieval systems. It is also an interesting problem for cognitive science, because it involves real world human decision making with complicated stimuli. This paper devel...

We propose a Label Propagation based algorithm for weakly supervised text classification. We construct a graph where each document is represented by a node and edge weights represent similarities among the documents. Additionally, we discover underlying topics using Latent Dirichlet Allocation (LDA) and enrich the document graph by including the topics in the form of additional nodes. The edge ...

Technical documentation such as user manual and manufacturing document is now an important part of the industrial production. Indeed, without such documents, the products can neither be manufactured nor used according to their complexity. Therefore, the increasing volume of such documents stored in the electronic format, needs an automatic classification system in order to categorize them in pr...

In this article we present research on the development of automatic genre classification systems for resource scarce languages. The main approaches to text classification from literature are presented and weighed against each other during an experimental phase, to identify the most appropriate text classification approach to be used as a genre classification system. A fixed feature set is extra...

In this paper, a cross-language patent retrieval and classification system is presented to integrate the query translation using various free web translators on the internet and the document classification. The language-independent indexing method was used to process the multilingual patent documents, and the query translation method was used to translate the query from the source language to t...

Text Classification is one of the booming area in research with the availability of huge amount of electronic data in the form of news article, research articles, email message, blog, web pages etc. Text Representation is a vital step for text classification. In text representation, term weighting method assigns appropriate weights to the term to get better performance; the term weighting metho...

Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples whose assigned categories are used to build a predictive model for each category. In previous research, incorporating semantic features from the WordNet lexical database is one of many approaches that have been tried t...