Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’
Word clouds manifest interactive visuals along with their statistical data. Thus knowledge discovery and aesthetic data visualization interlink to produce interactive word cloud which is an interesting, textual, statistical and visual data. This study aims to generate interactive word cloud—Cirrus—o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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National University of Modern Languages (NUML), Islamabad
2021-01-01
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| Series: | Journal of Research in Social Sciences |
| Subjects: | |
| Online Access: | https://jrss.numl.edu.pk/index.php/jrss/article/view/80 |
| _version_ | 1811165094496698368 |
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| author | Zafar Ullah Muhammad Uzair Arshad Mahmood |
| author_facet | Zafar Ullah Muhammad Uzair Arshad Mahmood |
| author_sort | Zafar Ullah |
| collection | DOAJ |
| description | Word clouds manifest interactive visuals along with their statistical data. Thus knowledge discovery and aesthetic data visualization interlink to produce interactive word cloud which is an interesting, textual, statistical and visual data. This study aims to generate interactive word cloud—Cirrus—on the basis of statistical data to preview text of the novel for readers. So cirrus tool is selected from Voyant open access tools to produce interactive statistical word cloud. Then the generated word cloud and statistical data are analyzed with mixed method and its analysis draws insight from Rakesh Aggrawal’s Knowledge Discovery Theory which seeks innovative and interesting knowledge patterns. This thematic word cloud verifies already known themes and discovers innovative interesting themes. Current study reveals that all mentioned key themes can be easily extracted from a voluminous novel with the help of Cirrus tool. Key motifs have been presented in the word cloud for the readers. On the other hand, unwritten themes can’t be extracted through machine learning tools, rather it is the task of human cognition. Primarily, this novel based study reveals names of chief characters, for instance “Tommy (496),” “Ruth (455)” and “I (Kathy) (355).” Furthermore, motifs of nostalgic memories with word “remember (143),” “thought (126)” about “Hailsham (203),” “carer (74),” “sex (80),” sex “lectures (8)” have been discovered as a preview. Previewing technique prepares reader’s mind and gives an epigrammatic digital view of the text. The visual themes as knowledgeable word cloud leave an indelible mark on the slate of memory. |
| first_indexed | 2024-04-10T15:32:01Z |
| format | Article |
| id | doaj.art-1cd373d477974b27881a7399a45990c8 |
| institution | Directory Open Access Journal |
| issn | 2306-112X |
| language | English |
| last_indexed | 2024-04-10T15:32:01Z |
| publishDate | 2021-01-01 |
| publisher | National University of Modern Languages (NUML), Islamabad |
| record_format | Article |
| series | Journal of Research in Social Sciences |
| spelling | doaj.art-1cd373d477974b27881a7399a45990c82023-02-13T11:11:58ZengNational University of Modern Languages (NUML), IslamabadJournal of Research in Social Sciences2306-112X2021-01-0172839810.52015/jrss.7i2.8080Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’Zafar Ullah0Muhammad Uzair1Arshad Mahmood2Lecturer in English, National University of Modern Languages, Islamabad.Director, Academics, National University of Modern Languages, Islamabad.Professor, Department of English, National University of Modern Languages, Islamabad.Word clouds manifest interactive visuals along with their statistical data. Thus knowledge discovery and aesthetic data visualization interlink to produce interactive word cloud which is an interesting, textual, statistical and visual data. This study aims to generate interactive word cloud—Cirrus—on the basis of statistical data to preview text of the novel for readers. So cirrus tool is selected from Voyant open access tools to produce interactive statistical word cloud. Then the generated word cloud and statistical data are analyzed with mixed method and its analysis draws insight from Rakesh Aggrawal’s Knowledge Discovery Theory which seeks innovative and interesting knowledge patterns. This thematic word cloud verifies already known themes and discovers innovative interesting themes. Current study reveals that all mentioned key themes can be easily extracted from a voluminous novel with the help of Cirrus tool. Key motifs have been presented in the word cloud for the readers. On the other hand, unwritten themes can’t be extracted through machine learning tools, rather it is the task of human cognition. Primarily, this novel based study reveals names of chief characters, for instance “Tommy (496),” “Ruth (455)” and “I (Kathy) (355).” Furthermore, motifs of nostalgic memories with word “remember (143),” “thought (126)” about “Hailsham (203),” “carer (74),” “sex (80),” sex “lectures (8)” have been discovered as a preview. Previewing technique prepares reader’s mind and gives an epigrammatic digital view of the text. The visual themes as knowledgeable word cloud leave an indelible mark on the slate of memory.https://jrss.numl.edu.pk/index.php/jrss/article/view/80word cloud/cirrus, voyant, text visualization, topic modelling, preview |
| spellingShingle | Zafar Ullah Muhammad Uzair Arshad Mahmood Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ Journal of Research in Social Sciences word cloud/cirrus, voyant, text visualization, topic modelling, preview |
| title | Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ |
| title_full | Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ |
| title_fullStr | Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ |
| title_full_unstemmed | Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ |
| title_short | Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’ |
| title_sort | extraction of key motifs as a preview from 2017 nobel prize winning novel never let me go |
| topic | word cloud/cirrus, voyant, text visualization, topic modelling, preview |
| url | https://jrss.numl.edu.pk/index.php/jrss/article/view/80 |
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