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Deafness and Text-Based Literacy
American Annals of the Deaf, 1993Due to social, political, and economic forces, much of the information associated with learned institutions such as courts, businesses, governments, and schools in the United States has been preserved or recorded in printed or written texts in standard English.
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Proceedings of the First International Conference on Web Information Systems Engineering, 2002
Text TV is one of the most important services of the forthcoming digital television. In this article, we discuss how text TV can be implemented using XML. The content is defined using XML, while the spatial and procedural relationships of the media elements are defined using XSL (Extensible Stylesheet Language) and ECMAScript (European Computer ...
Petri Vuorimaa, César Sancho
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Text TV is one of the most important services of the forthcoming digital television. In this article, we discuss how text TV can be implemented using XML. The content is defined using XML, while the spatial and procedural relationships of the media elements are defined using XSL (Extensible Stylesheet Language) and ECMAScript (European Computer ...
Petri Vuorimaa, César Sancho
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2009
The International Greek New Testament Project (IGNTP) has traditionally used the Textus Receptus as a collating base. A fixed base was essential in an apparatus constructed manually. The digital edition offers more flexibility. As early as the 1997 San Francisco meeting of the SBL, the IGNTP was considering different options.
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The International Greek New Testament Project (IGNTP) has traditionally used the Textus Receptus as a collating base. A fixed base was essential in an apparatus constructed manually. The digital edition offers more flexibility. As early as the 1997 San Francisco meeting of the SBL, the IGNTP was considering different options.
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On Compression-Based Text Classification
2005Compression-based text classification methods are easy to apply, requiring virtually no preprocessing of the data. Most such methods are character-based, and thus have the potential to automatically capture non-word features of a document, such as punctuation, word-stems, and features spanning more than one word.
Yuval Marton, Ning Wu, Lisa Hellerstein
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Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011
Text based Mining is the process of analyzing a document or set of documents to understand the content and meaning of the information they contain. Text Mining enhances human's ability to Process massive quantities of information and it has high Commercial values.
Ranjna Garg, Heena
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Text based Mining is the process of analyzing a document or set of documents to understand the content and meaning of the information they contain. Text Mining enhances human's ability to Process massive quantities of information and it has high Commercial values.
Ranjna Garg, Heena
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Sentiment-based text segmentation
2nd International Conference on Systems and Computer Science, 2013In this paper, we present a text segmentation system based on the sentiments expressed in the text. The system takes as input plain text (product review for instance) and uses two different resources for tagging the sentiment words: a sentiment words dictionary and SentiWordNet.
Costin-Gabriel Chiru +1 more
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View-based text representation
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Document clustering is useful for many research areas such as Text Mining and Information Retrieval. Therefore, it is desirable to be able to cluster documents accurately. The clustering quality depends not only on the clustering algorithm used but also on the way text is represented in the algorithm.
Chahine Koleejan, Xiaoying Gao
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Information Processing & Management, 1990
Abstract Whereas up to now document analysis was mainly concerned with the handling of formal properties of documents (scanning, editing), AI (Artificial Intelligence) techniques in the field of Natural Language Processing have shown the possibility of “Content based text handling,” i.e., a content analysis for textual documents.
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Abstract Whereas up to now document analysis was mainly concerned with the handling of formal properties of documents (scanning, editing), AI (Artificial Intelligence) techniques in the field of Natural Language Processing have shown the possibility of “Content based text handling,” i.e., a content analysis for textual documents.
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Heuristics based automatic text summarization of unstructured text
Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011Automatic Text Summarization is a specialized text mining task of generating a summary or abstract from single or multiple input text documents. Various heuristic and semi-supervised learning methods have been explored by researchers in this field to generate generic as well as user-oriented summaries.
Mita K. Dalal, Mukesh A. Zaveri
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Unicode-based method for text steganography with malayalam text
Journal of Intelligent & Fuzzy Systems, 2015Recent researches regarding information hiding is mostly concentrating on Linguistic steganography. The Steganography is the art and science of hiding a message inside another message without drawing any suspicion to the others so that the message can only be detected by its intended recipient.
P. M. Vidhya, Varghese Paul
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