— Keywords are a set of significant words in an article that gives high-level description of its contents to readers. They provide a concise and precise high-level summarization of a document. Keywords are useful tools as they give the shortest summary of the document. A keyword is identified by finding the relevance of the word with or without prior vocabulary of the document or the web page. ...

Automatic indexing is one of the important technologies used for Textual Data Analysis applications. Standard document indexing techniques usually identify the most relevant keywords in the documents. This paper presents an alternative approach that aims at performing document indexing by associating concepts with the document to index instead of extracting keywords out of it. The concepts are ...

It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...

This document gives formatting guidelines for authors preparing papers for publication in the International Journal of Emerging Technology and Advanced Engineering The authors must follow the instructions given in the document for the papers to be published. Keywords—Keyword are your own designated keyword which can be used for easy location of the manuscript using any search engines. It includ...

Document Image Analysis recognizes text and graphics in documents acquired as images. An approach without Optical Character Recognition (OCR) for degraded document image analysis has been adopted in this paper. The technique involves document imaging methods such as Image Fusing and Speeded Up Robust Features (SURF) Detection to identify and extract the degraded regions from a set of document i...

In the age of big data, there is increasing growth data on Internet. It becomes frustrating for users to locate desired data. Therefore, text summarization emerges as a solution this problem. summarizes and presents with gist provided documents. However, summarizer systems face challenges, such poor grammaticality, missing important information, redundancy, particularly in multi-document summar...

Manually assigned keywords provide a valuable means for accessing large document collections. They can serve as a shallow document summary and enable more efficient retrieval and aggregation of information. In this paper we investigate keywords in the context of the Dutch Folktale Database, a large collection of stories including fairy tales, jokes and urban legends. We carry out a quantitative...

For document categorization, numerous words appearing in similar documents are divided into stopwords and keywords and to precisely describe documentary characteristics, documents are expressed by keywords without stopwords. For enhanced clustering precision, this paper proposed SHODC algorithm, a seed cluster-based hierarchical document clustering method, and DHODC method through domain stopwr...

The “Adaptive Approach for Historical or Degraded Document Binarization” is that in which Libraries and Museums obtain in large gathering of ancient historical documents printed or handwritten in native languages. Typically, only a small group of people are allowed access to such collection, as the preservation of the material is of great concern. In recent years, libraries have begun to digiti...