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Journal articles on the topic 'Text'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

LOW, G. D. "FROM TEXT TO TEST." World Englishes 4, no. 1 (1985): 180–83. http://dx.doi.org/10.1111/j.1467-971x.1985.tb00400.x.

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2

Reddy, Mr B. Ravinder, J. Nandini, and P. Sowmya Y. Sathwik. "Handwritten Text Recognition and Digital Text Conversion." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1826–27. http://dx.doi.org/10.31142/ijtsrd23508.

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3

Theunissen, T. J. J. M. "Text banking and test design." Language Testing 4, no. 1 (1987): 1–8. http://dx.doi.org/10.1177/026553228700400101.

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4

Kumar HM, Prashanth, and Subramanya Bhat B. "Implementation of Converting Unicode Text to Original Text." International Journal of Scientific Engineering and Research 12, no. 1 (2024): 12–16. https://doi.org/10.70729/se231222125142.

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5

Soboleva, Ya S., S. Šandalová, A. V. Sobolev, and I. A. Presnyakov. "Probe Mössbauer Study of Magnetically Ordered Manganite $${\text{ScMn}}_{{{\text{0}}{\text{.996}}}}^{{{\text{57}}}}{\text{F}}{{{\text{e}}}_{{{\text{0}}{\text{.004}}}}}{{{\text{O}}}_{{\text{3}}}}$$." Inorganic Materials 60, no. 10 (2024): 1226–30. https://doi.org/10.1134/s0020168524701619.

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6

Cope, Bill, and Mary Kalantzis. "Text-Made Text." E-Learning and Digital Media 1, no. 2 (2004): 198–282. http://dx.doi.org/10.2304/elea.2004.1.2.4.

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7

Vössing, J., C. Stamov-Roßnagel, and K. Heinitz. "Text difficulty affects metacomprehension accuracy and knowledge test performance in text learning." Journal of Computer Assisted Learning 33, no. 3 (2017): 282–91. http://dx.doi.org/10.1111/jcal.12179.

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8

Sundberg, Norman D. "A Text for Future Test Users." Contemporary Psychology: A Journal of Reviews 30, no. 3 (1985): 203–4. http://dx.doi.org/10.1037/023632.

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9

Mohammed Ali, Kawthar, and Diaa Abdul Razzaq Alani. "THE CHARACTER BETWEEN READING TEXT AND VISUAL TEXT(2000-2017)." Journal of The University of Duhok 22, no. 1 (2019): 358–68. http://dx.doi.org/10.26682/hjuod.2019.22.1.19.

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10

Sarangi, Srikant. "Editorial: Text & Talk." Text - Interdisciplinary Journal for the Study of Discourse 25, no. 1 (2005): 1–5. http://dx.doi.org/10.1515/text.2005.25.1.1.

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11

James Gifford. "Dramatic Text, Music Text:." Interdisciplinary Literary Studies 14, no. 1 (2012): 21. http://dx.doi.org/10.5325/intelitestud.14.1.0021.

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12

Lotman, Yu M. "Text within a Text." Soviet Psychology 26, no. 3 (1988): 32–51. http://dx.doi.org/10.2753/rpo1061-0405260332.

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13

Hevia, J. L. "Image/Text::Text/Image." positions: asia critique 23, no. 1 (2015): 115–19. http://dx.doi.org/10.1215/10679847-2870510.

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14

Dowden, Ken. "Homer's sense of text: Homeric ‘Text’, Cyclic ‘Text’." Journal of Hellenic Studies 116 (November 1996): 47–61. http://dx.doi.org/10.2307/631955.

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In this article I am concerned to form a view of the interaction of Homer's Iliad with other texts prior to his. This is an issue whose legitimacy, particularly in English-language scholarship, has been rather obscured by scholarly discourse in terms of oral poetics, an issue I shall discuss presently. Yet, unless they are completely new fictions, the Cyclic epics do show us some of the material with which Homer was bound to be interacting, and it has been the achievement of the Neoanalysts to detail that interaction. In the following I do not claim to add greatly to the repertoire of neoanaly

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15

Kim, Tatyana S. "Opposition Text Structure." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 3689–99. http://dx.doi.org/10.37200/ijpr/v24i4/pr201482.

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16

Yingguang, Shi. "The exact order of $$\sum\nolimits_{k = 1}^{\text{n}} {|{\text{x - x}}_{\text{k}} } |^8 |{\text{l}}_{\text{k}} ({\text{x)|}}^{\text{t}} $$." Approximation Theory and its Applications 8, no. 3 (1992): 1–10. http://dx.doi.org/10.1007/bf02836333.

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17

Yoon, Junyeon, Youngsook Huh, Insung Lee, Seulgi Moon, Hyonjeong Noh, and Jianhua Qin. "Weathering Processes in the Min Jiang: Major Elements, $$ {}^{87}{\text{Sr/}}{}^{86}{\text{Sr}},\;\delta {}^{34}{\text{S}}_{{\text{SO}}_{\text{4}} } ,\;{\text{and}}\;\delta {}^{18}{\text{O}}_{{\text{SO}}_{\text{4}} } $$." Aquatic Geochemistry 14, no. 2 (2008): 147–70. http://dx.doi.org/10.1007/s10498-008-9030-7.

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18

J Ilumin, Reynaldo. "Explicit Instruction of Pure Text Structure: Arming Maturing Readers for Expository Science Texts." International Journal of Science and Research (IJSR) 10, no. 1 (2021): 275–79. https://doi.org/10.21275/sr21101213911.

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19

Kant, Ravi, Kulvir Singh, and O. P. Pandey. "Structural, thermal and transport properties of $$ {\text{B}}{{\text{i}}_4}{{\text{V}}_{2 - {\text{x}}}}{\text{G}}{{\text{a}}_{\text{x}}}{{\text{O}}_{11 - \delta }} $$ (0 ≤ x ≤ 0.4)." Ionics 16, no. 3 (2009): 277–82. http://dx.doi.org/10.1007/s11581-009-0392-7.

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20

Gordon, Cynthia. "Reshaping prior text, reshaping identities." Text & Talk - An Interdisciplinary Journal of Language, Discourse Communication Studies 26, no. 4-5 (2006): 545–71. http://dx.doi.org/10.1515/text.2006.022.

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21

Prasad KM, Shiva, and Dr T. Hanumantha Reddy. "Text Mining: Classification of Text Documents using Granular Hybrid Classification Technique." International Journal of Research in Advent Technology 7, no. 6 (2019): 1–8. http://dx.doi.org/10.32622/ijrat.76201910.

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22

Pathak, Rajesh, and Ravi Kumar Tewari. "Distinction between Machine Printed Text and Handwritten Text in a Document." International Journal of Scientific Engineering and Research 3, no. 7 (2015): 13–17. https://doi.org/10.70729/ijser15298.

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23

Neha K, Shah. "Introduction of Text mining and an Analysis of Text mining Techniques." Paripex - Indian Journal Of Research 2, no. 2 (2012): 56–57. http://dx.doi.org/10.15373/22501991/feb2013/18.

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24

Jingyan, Ma. "Poster as polycode small-format text." Bulletin of the Donetsk National University. Series D: Philology and Psychology 3 (April 29, 2025): 81–91. https://doi.org/10.5281/zenodo.15301482.

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The work considers the poster as a polycode small-format text with a modular structure. The poster is a complex dynamic system that includes hierarchies of codes of the addresser, the addressee, the national language and individual speech features. The results emphasize that the poster is characterized by the combination of different linguistic codes and non-linguistic visual elements such as iconic signs, images, graphic forms and color solutions. These components enhance the impact of the verbal code and increase the expressiveness of the poster. A special attention is paid to modularity as

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25

Brodić, Darko, Dragan R. Milivojević, and Zoran Milivojević. "Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction." Sensors 10, no. 5 (2010): 5263–79. http://dx.doi.org/10.3390/s100505263.

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26

Sodiqova, Yulduz Furqatovna. "LITERARY TEXT AS AN OBJECT OF LINGUISTIC RESEARCH AND THE PROBLEM OF ITS INTERPRETATION." International journal of word art 5, no. 3 (2022): 134–37. https://doi.org/10.5281/zenodo.6642870.

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This article is devoted to the concept of the text, its main functions and main features, as well as the problem of its interpretation. The text is a multidimensional linguistic unit, the definition of which is not unanimous among linguists, which is a serious problem in any modern linguistic research, and the analysis of the text, especially the literary text. This article discusses several approaches to the problem presented of particular interest in linguistic analysis, is the fact that the literary text has a number of distinctive features that distinguish it from the real text. Thanks to

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27

Supeno and Suseno Imam. "Anxiety contribution on students' text comprehension in various test types." Journal of Education and Learning (EduLearn) 14, no. 2 (2020): 248–54. https://doi.org/10.11591/edulearn.v14i2.14258.

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This study aims to understand how anxiety as a variable contributes to affect the ability in comprehending English texts evaluated on students’ performance on various test types, namely 1) multiple-choice tests (MC), 2) fill-in-the-blank tests (FTB), and 3) true/false tests (TF). This research used ex post facto method, with responses collected from eleventh grade high school students in Jakarta. Respondents worked on tests with similar material, although at different times. Students’ anxiety was measured based on behavioral and cognitive characteristics listed on the questionnaire

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28

Bracisiewicz, Klaudia. "Text usability test of French braid instructions." Oblicza Komunikacji 11 (April 7, 2021): 223–34. http://dx.doi.org/10.19195/2083-5345.11.14.

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Usable texts should be extremely clear and functional. The present article focuses on instructions as a genre. Using French braid instructions as an example, the author presents how the form and layout of a text influence its usability. To this end an experiment was conducted on a sample of 32 individuals. The subjects received four versions of the same instructions — in the form of continuous text, in the form of continuous text with fragments in bold type, bullet point instructions and bullet point instructions with illustrations. The objective was to compare various forms of instructions (a

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29

Kang, YannaShen, and Mehmet Kayaalp. "Extracting laboratory test information from biomedical text." Journal of Pathology Informatics 4, no. 1 (2013): 23. http://dx.doi.org/10.4103/2153-3539.117450.

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30

Syrdal, Ann K., and Beki A. Sciacca. "A diagnostic text‐to‐speech intelligibility test." Journal of the Acoustical Society of America 94, no. 3 (1993): 1842–43. http://dx.doi.org/10.1121/1.407715.

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31

Collins, W. Matthew, and Betty Ann Levy. "Text repetition and text integration." Memory & Cognition 35, no. 7 (2007): 1557–66. http://dx.doi.org/10.3758/bf03193490.

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32

Lotman, Yury M., Jerry Leo, and Amy Mandelker. "The Text within the Text." PMLA 109, no. 3 (1994): 377. http://dx.doi.org/10.2307/463074.

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33

Fabião, Eleonora. "Call Me Text, Just Text*." Studies in Gender and Sexuality 19, no. 1 (2018): 55–68. http://dx.doi.org/10.1080/15240657.2018.1421304.

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34

Anhalt, Istvan. "Music: context, text, counter-text." Contemporary Music Review 5, no. 1 (1989): 101–35. http://dx.doi.org/10.1080/07494468900640571.

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35

Cardwell, Richard A. "Byron: Text and counter‐text." Renaissance and Modern Studies 32, no. 1 (1988): 6–23. http://dx.doi.org/10.1080/14735788809366514.

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36

Lokendra, Singh Banafar, and Lalita Gupta Dr. "Text Detection from Natural Images using MSER Algorithm." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 73–81. https://doi.org/10.31142/ijtsrd10806.

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In present daily life text plays an important role in daily life because of its rich information that is why automatic text detection in natural images has many applications. But detecting the text from natural image is always a challenging problem. Due to the presence of variation in the background and as the size of the text also not fixed in case of natural images it is very difficult to identify the text accurately. Through tremendous efforts have recently been devoted in this research but still reading texts in unconstrained environment is still challenging and remain a problem. Today tex

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37

Heo, Jongkook, Sae Rin Lim, Sihu Ahn, et al. "Text-to-Text Multi-Task Learning to Generate Battlefield Situation Awareness Report." Journal of the Korean Institute of Industrial Engineers 48, no. 6 (2022): 603–14. http://dx.doi.org/10.7232/jkiie.2022.48.6.603.

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38

Jiang, Lipeng, Xiyan Zhang, Chengli Wang, et al. "Luminescence and energy transfer of Sm3+-codoped $${{\text{Y}}_{2.9}}{\text{A}}{{\text{l}}_{4.25}}{\text{G}}{{\text{a}}_{0.75}}{{\text{O}}_{12}}:{\text{Ce}}_{{0.1}}^{{3+}}$$ phosphor." Journal of Materials Science: Materials in Electronics 28, no. 24 (2017): 18898–902. http://dx.doi.org/10.1007/s10854-017-7843-0.

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39

С., П. Галаур. "ТАКСОНОМІЯ КАТЕГОРІЙ ХУДОЖНЬОГО ТЕКСТУ-ДИСКУРСУ". Лінгвістичні дослідження: Зб. наук. праць ХНПУ ім. Г.С. Сковороди, № 46 (14 листопада 2017): 146–53. https://doi.org/10.5281/zenodo.1048781.

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<em>The re-interpretation</em> <em>of communication phenomenon, claiming “to other” focus to be the prerogative, causes consecutive refusal of text’s traditional consideration. The latter is being expounded as empirical substance and real material manifestation of speakers communication intentions as well as their mental universes’ interaction. This way of approach opens further perspective to define artistic text categories’ taxonomy more precisely; the text likewise remains hyponymically-hyperonically connected to the artistic discourse, being its constitutive substratum. The artistic text r

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40

Jing, Chen, and Zhang Baolin. "Alternating band Crank-Nicolson method for $$\frac{{\partial {\text{u}}}}{{\partial {\text{t}}}} = \frac{{\partial ^2 {\text{u}}}}{{\partial {\text{x}}^{\text{2}} }} + \frac{{\partial ^2 {\text{u}}}}{{\partial {\text{y}}^{\text{2}} }}$$." Applied Mathematics-A Journal of Chinese Universities 8, no. 2 (1993): 150–62. http://dx.doi.org/10.1007/bf02661999.

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41

Semeniuk, Tetiana, and Yulia Gordienko. "FROM TEXT TO POLYCODE TEXT: SEMIOTIC CHANGES IN TEXT PRODUCTION." RESEARCH TRENDS IN MODERN LINGUISTICS AND LITERATURE 1 (November 22, 2018): 122–34. http://dx.doi.org/10.29038/2617-6696.2018.1.122.134.

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The article is devoted to the investigation of the linguistic notions of “text” and “polycode text”. The notion of a text has recently undergone a lot of changes in its interpretation. Nowadays, while defining of texts it has been offered to take into account different approaches to their study including not only grammatical, cognitive-semantic, communicative-pragmatic, but also semiotic and semiotic-cultural. The development of IT, the globalization, and changes in the ways of coding of information have increased the role of the semiotic approach in the interpretation of texts. Within the sem

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42

Oh, Takkeun, Jianlin Li, Heesung Yoon, and Eric D. Wachsman. "Stability of $$ {\text{SrCe}}_{{0.9}} {\text{Eu}}_{{0.1}} {\text{O}}_{{3 - \delta }} $$ and $$ {\text{SrZr}}_{{0.2}} {\text{Ce}}_{{0.7}} {\text{Eu}}_{{0.1}} {\text{O}}_{{3 - \delta }} $$ under H2 atmospheres." Ionics 15, no. 5 (2009): 525–30. http://dx.doi.org/10.1007/s11581-009-0349-x.

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43

Silvia, Golubițchi. "Methodological Aspects of Multimodal Text Study in Primary School." Journal of Educational Theory and Practice DIDACTICA PRO... 23, no. 2-3 (138-139) (2023): 57–60. https://doi.org/10.5281/zenodo.7974409.

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Multimedia means tend to have a strong impact on students. Multimodal texts are a way of using information technology in primary school, which combine two or more semiotic systems (linguistic, visual, audio, gestural, or spatial) and include several ways of representing reality, which can reach the receiver much easier and more effectively. The multimodal text highlights changes at content, didactic strategy, and goal level. Reading a multimodal text involves understanding, reception, interpretation, reflection, and evaluation, while composing one follows three stages: pre-editing, editing, an

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44

Jones, Rodney H. "The role of text in televideo cybersex." Text & Talk - An Interdisciplinary Journal of Language, Discourse Communication Studies 28, no. 4 (2008): 453–73. http://dx.doi.org/10.1515/text.2008.022.

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45

Palbekovna, Kallibekova Gulnara. "Neologisms in Newspaper Text." American Journal of Philological Sciences 5, no. 5 (2025): 173–77. https://doi.org/10.37547/ajps/volume05issue05-46.

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The article analyzes neologism words entering the Karakalpak literary language. Neologism states that words have been largely identified by the formal message genre as processes of collation in other genres. International terms and neologism are compared in a number of examples of words.

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46

Ying, Yi, T. N. Mursitama, Shidarta, and Lohansen. "Effectiveness of the News Text Classification Test Using the Naïve Bayes’ Classification Text Mining Method." Journal of Physics: Conference Series 1764, no. 1 (2021): 012105. http://dx.doi.org/10.1088/1742-6596/1764/1/012105.

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47

Pubby, Kunal, Puneet Sharma, and Sukhleen Bindra Narang. "Structural, magnetic, dielectric, microwave absorption, and optical characterization of $${\text{Ni}}_{0.1} {\text{Co}}_{0.9} \left({\text{MnZr}} \right)_{x} {\text{Fe}}_{2 - 2x} {\text{O}}_{4}/{\text{Ba}}_{y} {\text{Sr}}_{1 - y} {\text{Fe}}_{12} {\text{O}}_{19}$$ nanocomposites." Journal of Materials Science: Materials in Electronics 31, no. 1 (2019): 599–609. http://dx.doi.org/10.1007/s10854-019-02564-7.

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48

Hasan, Ismael, Javier Parapar, and Álvaro Barreiro. "Improving the Extraction of Text in PDFs by Simulating the Human Reading Order." JUCS - Journal of Universal Computer Science 18, no. (5) (2012): 623–49. https://doi.org/10.3217/jucs-018-05-0623.

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Text preprocessing and segmentation are critical tasks in search and text mining applications. Due to the huge amount of documents that are exclusively presented in PDF format, most of the Data Mining (DM) and Information Retrieval (IR) systems must extract content from the PDF files. In some occasions this is a difficult task: the result of the extraction process from a PDF file is plain text, and it should be returned in the same order as a human would read the original PDF file. However, current tools for PDF text extraction fail in this objective when working with complex documents with mu

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49

Bewoor, Mrunal S., and Suhas H. Patil. "Empirical Analysis of Single and Multi Document Summarization using Clustering Algorithms." Engineering, Technology & Applied Science Research 8, no. 1 (2018): 2562–67. https://doi.org/10.5281/zenodo.1207394.

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<em>Abstract</em>—The availability of various digital sources has created a demand for text mining mechanisms. Effective summary generation mechanisms are needed in order to utilize relevant information from often overwhelming digital data sources. In this view, this paper conducts a survey of various single as well as multi-document text summarization techniques. It also provides analysis of treating a query sentence as a common one, segmented from documents for text summarization. Experimental results show the degree of effectiveness in text summarization over different clustering algo

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50

Zeitlin, Aaron. "Text." Anglican Theological Review 103, no. 4 (2021): 492. http://dx.doi.org/10.1177/00033286211056826.

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