SMVS: A Web-based application for graphical visualization of malay text corpus
Information visualization is an interesting field nowadays. A good information visualization ensures distraction of misleading information is not included in the visualization. Many studies have been conducted on the Quranic corpus. The advancement technology coupled with modern approach of the comp...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/27229/1/ISCAIE%202020%2030%2035.pdf |
| _version_ | 1825805613854097408 |
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| author | Ahmat Baseri, Noor Bazilah Abu Bakar, Juhaida Ahmad, Azizah Jafferi, Hawa Zamri, Muhammad Faiz |
| author_facet | Ahmat Baseri, Noor Bazilah Abu Bakar, Juhaida Ahmad, Azizah Jafferi, Hawa Zamri, Muhammad Faiz |
| author_sort | Ahmat Baseri, Noor Bazilah |
| collection | UUM |
| description | Information visualization is an interesting field nowadays. A good information visualization ensures distraction of misleading information is not included in the visualization. Many studies have been conducted on the Quranic corpus. The advancement technology coupled with modern approach of the computer technology can support the learners to understand Qur'an easily. Smart Malay Visualization System (SMVS) is a Python Flask framework web application which help users efficiently to produce the most basic data visualization from a big data. This web application displayed information from the state-of-the-art corpus which is identified through text. Agile development has been adapted to prepare this web application. Six phases of the methodology have been implemented in this study which are requirements, analysis, planning, design, implementation, testing, and deployment. Natural Language Processing approach has been used to visualize the data. Twenty most informative word from each verse has been visualized using Frequency Distribution and has been embedded to the web application. This work focuses on the Malay translation of the Qur'an corpus. |
| first_indexed | 2024-07-04T06:35:09Z |
| format | Conference or Workshop Item |
| id | uum-27229 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:35:09Z |
| publishDate | 2020 |
| record_format | eprints |
| spelling | uum-272292020-07-23T01:48:15Z https://repo.uum.edu.my/id/eprint/27229/ SMVS: A Web-based application for graphical visualization of malay text corpus Ahmat Baseri, Noor Bazilah Abu Bakar, Juhaida Ahmad, Azizah Jafferi, Hawa Zamri, Muhammad Faiz QA75 Electronic computers. Computer science Information visualization is an interesting field nowadays. A good information visualization ensures distraction of misleading information is not included in the visualization. Many studies have been conducted on the Quranic corpus. The advancement technology coupled with modern approach of the computer technology can support the learners to understand Qur'an easily. Smart Malay Visualization System (SMVS) is a Python Flask framework web application which help users efficiently to produce the most basic data visualization from a big data. This web application displayed information from the state-of-the-art corpus which is identified through text. Agile development has been adapted to prepare this web application. Six phases of the methodology have been implemented in this study which are requirements, analysis, planning, design, implementation, testing, and deployment. Natural Language Processing approach has been used to visualize the data. Twenty most informative word from each verse has been visualized using Frequency Distribution and has been embedded to the web application. This work focuses on the Malay translation of the Qur'an corpus. 2020 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27229/1/ISCAIE%202020%2030%2035.pdf Ahmat Baseri, Noor Bazilah and Abu Bakar, Juhaida and Ahmad, Azizah and Jafferi, Hawa and Zamri, Muhammad Faiz (2020) SMVS: A Web-based application for graphical visualization of malay text corpus. In: 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 18-19 April 2020, Malaysia, Malaysia. http://doi.org/10.1109/ISCAIE47305.2020.9108705 doi:10.1109/ISCAIE47305.2020.9108705 doi:10.1109/ISCAIE47305.2020.9108705 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmat Baseri, Noor Bazilah Abu Bakar, Juhaida Ahmad, Azizah Jafferi, Hawa Zamri, Muhammad Faiz SMVS: A Web-based application for graphical visualization of malay text corpus |
| title | SMVS: A Web-based application for graphical visualization of malay text corpus |
| title_full | SMVS: A Web-based application for graphical visualization of malay text corpus |
| title_fullStr | SMVS: A Web-based application for graphical visualization of malay text corpus |
| title_full_unstemmed | SMVS: A Web-based application for graphical visualization of malay text corpus |
| title_short | SMVS: A Web-based application for graphical visualization of malay text corpus |
| title_sort | smvs a web based application for graphical visualization of malay text corpus |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27229/1/ISCAIE%202020%2030%2035.pdf |
| work_keys_str_mv | AT ahmatbaserinoorbazilah smvsawebbasedapplicationforgraphicalvisualizationofmalaytextcorpus AT abubakarjuhaida smvsawebbasedapplicationforgraphicalvisualizationofmalaytextcorpus AT ahmadazizah smvsawebbasedapplicationforgraphicalvisualizationofmalaytextcorpus AT jafferihawa smvsawebbasedapplicationforgraphicalvisualizationofmalaytextcorpus AT zamrimuhammadfaiz smvsawebbasedapplicationforgraphicalvisualizationofmalaytextcorpus |