Results 251 to 260 of about 335,832 (313)

Using Mentor Texts to Deconstruct Text Sets

2022
We recognize that students need literacy practices that transcend grade levels and content areas as well as multiple opportunities to showcase and to see their culture(s) in the texts they read. Therefore, in this chapter, the authors consider how culturally and linguistically responsive pedagogy can help support literacy experiences for students and ...
Rhonda C. Hylton, William P. Bintz
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Visualizing text data sets

Computing in Science & Engineering, 1999
The authors present a visualization methodology which provides users with a way to alter perspectives and interpret visualization so that they can quickly identify trends, outliers, and possible clusters while tuning for a particular context. The technology developed for text mining is called Trust, or Text Representation Using Subspace Transformation.
A. Booker, M. Condliff, M. Greaves, F.B. Holt, A. Kao, D.J. Pierce, S. Poteet, Y.-J.J. Wu   +7 more
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Text summarization using rough sets

2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), 2016
Text Summarization aims to generate concise and compressed form of original documents. The techniques used for text summarization may be categorized as extractive summarization and abstractive summarization. We consider extractive techniques which are based on selection of important sentences within a document. A major issue in extractive summarization
Nouman Azam, Afzaal Ahmad
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Stress, Meter, and Text-Setting

2020
Verse meter organizes prominence-marking categories into isochronous and binary hierarchical rhythmic structures, subject to principles that are rooted in the faculty of language, stylized in verbal art, and manifested in a generalized and more abstract form in music and dance.
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Stephen Crane Set text

2018
Text for Stephen Crane Set, chorus and instrumental ...
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Theory, Text-Setting, and Performance

Journal of Musicology, 1993
I'll begin autobiographically. Several early drafts of this paper had an initial section noting how seldom music theorists raised political questions about their work. Eventually I decided to omit that section, for two reasons. One, simply, was that making that sort of argument isn't what I do best or what most authentically interests me. The other was
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Beyond the linked text set: text set assemblages and the Linked Text Set Map

English Teaching: Practice & Critique
Purpose This paper aims to critique the structural limitations of linked text sets, a common tool in secondary English curriculum design, arguing that their reliance on canonical anchor texts limits efforts at diversification.
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Text Setting in African Composition

Research in African Literatures, 2001
L'A., originaire du Nigeria et compositeur de musique moderne, decrit l'utilisation du texte en tant que signifiant dans la composition musicale en Afrique subsaharienne contemporaine. Il soutient que les textes d'auteurs africains (en langues africaines ou en langues europeennes) peuvent contribuer a l'etablissement d'une identite panafricaine dans la
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Topic word set-based text clustering

7th International Conference on e-Commerce in Developing Countries:with focus on e-Security, 2013
Clustering is the task of grouping related and similar data without any prior knowledge about the labels. In some real world applications, we face huge amounts of unstructured textual data with no organization. In these situations, clustering is a primitive operation that needs to be done to help future e-commerce tasks.
Amir Mehdi Ghazifard, Mohammadreza Shams, Zeinab Shamaee   +2 more
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Text Classificationg for Imbalanced Data Sets

2008 International Symposium on Information Science and Engineering, 2008
Imbalanced data set has caused a significant drawback of the classification performance attainable by most normal machine learning algorithm. However, the samples are often imbalanced. Therefore, how to reduce the effects of uneven distribution of training sets on text classification performance is a great challenge for machine learning on imbalanced ...
null Yanling Li, null Yehang Zhu, null Ping Yang   +2 more
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