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Basis of deconstruction in poetic text: بنەماكانی هەڵوەشاندنەوە لە دەقی شیعریدا
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Deconstruction theory is a theory that appeared After construction theory, and it tends, through some key principles, to reach the purposive and the main meaning of the text by the means of different perspectives. In other words, deconstruction is a critical literary theory and a contemporary philosophical approach that work together to reach exact concept of the text, and this is achieved through reading and analyzing the text. Therefore, deconstruction has specified some principles so as to reach the exact meaning of the text through these different principles.

پێشەكی:

تیۆری هەڵوەشاندنەوە تیۆرێكە پاش بوونیادگەری سەریهەڵداوە و دەیەوێت لەڕێگەی چەند بنەمایەكی سەرەكیەوە كار بۆ گەیشتنە واتای مەبەستدار و سەرەكی دەق بكات، لە ڕێگەی گۆشە نیگای جیاوازەوە. بەواتایەكی تر هەڵوەشاندنەوە تیۆرێكی ئەدەبی ڕەخنەیی و ڕێبازێكی فەلسەفی هاوچەرخە و پێكەوە كاردەكەن لەپێناو گەیشتنە چەمكی تەواوی دەقەكە، ئەمەش لەڕێگەی خوێندنەوە و ڕاڤەی دەقەكەوە دەبێت،    بۆیە هەڵوەشاندنەوە چەند بنەمایەكی دیاریكردووە، تاوەكو لەڕێگەی ئەم بنەما جیاوازانەوە بگاتە واتای تەواوی دەق. 

       ئەم لێكۆڵینەوەیە پێكهاتووە لە دوو بەش، لە بەشی یەكەمدا باس لە چەمك و پێناسەی هەڵوەشاندنەوە و سەرهەڵدان و گەشەكردن و فەلسەفەی ئامادە و بنەما و ستراتیژەكانی هەڵوەشاندنەوە لە ڕوانگەی دریداوە كراوە.

      لە بەشی دووەمدا بەپێی بنەماو ستراتیژەكانی هەڵوەشاندنەوە كار لەسەر دەقی شیعری كراوە و دەقی شیعری (تەلیسم)ی ئەنوەر قادر جاف وەك نموونە وەرگیراوە.

 

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Publication Date
Thu Oct 01 2015
Journal Name
Engineering And Technology Journal
Genetic Based Optimization Models for Enhancing Multi- Document Text Summarization
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Wed Apr 20 2022
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Periodicals Of Engineering And Natural Sciences (pen)
Text image secret sharing with hiding based on color feature
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Sat Jan 19 2019
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Artificial Intelligence Review
Survey on supervised machine learning techniques for automatic text classification
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Fri Jul 01 2022
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Iraqi Journal Of Science
Extractive Multi-Document Text Summarization Using Multi-Objective Evolutionary Algorithm Based Model
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Automatic document summarization technology is evolving and may offer a solution to the problem of information overload. Multi-document summarization is an optimization problem demanding optimizing more than one objective function concurrently. The proposed work considers a balance of two significant objectives: content coverage and diversity while generating a summary from a collection of text documents. Despite the large efforts introduced from several researchers for designing and evaluating performance of many text summarization techniques, their formulations lack the introduction of any model that can give an explicit representation of – coverage and diversity – the two contradictory semantics of any summary. The design of gener

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Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
EfficientEfficientEfficientEfficientEfficientEfficientEfficientEfficientEfficient text in image hidingtext in image hidingtext in image hidingtext in image hidingtext in image hidingtext in image hidingtext in image hidingtext in image hidingtext in image
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The steganography (text in image hiding) methods still considered important issues to the researchers at the present time. The steganography methods were varied in its hiding styles from a simple to complex techniques that are resistant to potential attacks. In current research the attack on the host's secret text problem didn’t considered, but an improved text hiding within the image have highly confidential was proposed and implemented companied with a strong password method, so as to ensure no change will be made in the pixel values of the host image after text hiding. The phrase “highly confidential” denoted to the low suspicious it has been performed may be found in the covered image. The Experimental results show that the cov

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Mon Dec 01 2014
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2014 Ieee Student Conference On Research And Development
Feature extraction for co-occurrence-based cosine similarity score of text documents
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Development of the Properties of Zinc Polycarboxylate Cement Used as a Basis for Dental Fillings Using Zink Oxide Nanoparticles Prepared by Green Chemistry Method
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Most dental supplies don't seem to be much of a barrier against germ infiltration. Therefore, the filling must be done with perfect caution and high antimicrobial effectiveness. When dental erosion occurs due to germs that lead to caries, a dental filling is used, creating a small microscopic space between the dental filling and the root end infiltration. This allowed the tooth to be penetrated for the second time, which was the research problem. Adding two compounds to antibacterial fillers (zinc polycarboxylate cement) made them work better: Firstly, was zinc oxide  (ZnO) that was made chemically, and secondly, was green ZnO nanoparticles that were made from orange peels and mixed with ZPCC in different amounts. The study was conducte

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Publication Date
Sat Feb 01 2025
Journal Name
International Journal Of Data And Network Science
Multi-objective of wind-driven optimization as feature selection and clustering to enhance text clustering
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Text Clustering consists of grouping objects of similar categories. The initial centroids influence operation of the system with the potential to become trapped in local optima. The second issue pertains to the impact of a huge number of features on the determination of optimal initial centroids. The problem of dimensionality may be reduced by feature selection. Therefore, Wind Driven Optimization (WDO) was employed as Feature Selection to reduce the unimportant words from the text. In addition, the current study has integrated a novel clustering optimization technique called the WDO (Wasp Swarm Optimization) to effectively determine the most suitable initial centroids. The result showed the new meta-heuristic which is WDO was employed as t

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Publication Date
Sat Feb 01 2025
Journal Name
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A New Text from Ur III dynasty on Ba’aga, the fattener
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
The effect of story- grammar instruction on poor college student s 'achievement of narrative texst theme identification
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