A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery
Social networks have become a vital component in personal life. People are addicted to social network features, updating their profile page and collaborating virtually with other members have become daily routines. Web data mining is a new trend in current research studies. This study sought to d...
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TechnoScience Academy
2023
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| Online Access: | https://cris.library.msu.ac.zw//handle/11408/5712 https://doi.org/10.32628/CSEIT217121 |
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| author | Kumbirayi Kwenda Noreen Sarai Tinashe Gwendolyn Zhou |
| author2 | Systems Analyst, Kunda.org, Harare, Zimbabwe |
| author_facet | Systems Analyst, Kunda.org, Harare, Zimbabwe Kumbirayi Kwenda Noreen Sarai Tinashe Gwendolyn Zhou |
| author_sort | Kumbirayi Kwenda |
| collection | DSpace |
| description | Social networks have become a vital component in personal life. People are
addicted to social network features, updating their profile page and collaborating
virtually with other members have become daily routines. Web data mining is a
new trend in current research studies. This study sought to develop a framework
for social media data mining and analysis for the betterment and advancement of
products (art effects) and services (exhibitions) with in the contemporary art
industry of Zimbabwe through a case study of the Zimbabwean National Art
Gallery. The information for this paper was gathered through the use of in-depth
interviews, questionnaires, key-word search and API from the organization’s social
media twitter handle were used to get the data for analysis. Focus group
participants were chosen from the National art gallery and a matching number was
selected from the artist who makes the artworks which will be soles or exhibited
through the national art gallery. The findings suggested that, yes it is possible to
inform the next batch of products with information mined from analyzing the
sentiments or reviews of the previous set of artworks. Hence with this in mind the
researchers managed to develop a framework which can be used to implement
social media mining in the art sector of Zimbabwe. The proposed framework tried
to handle the major limitations in current web mining frameworks by handling
challenges such as special symbols, slang use, Data Validity analysis, time frame,
and methodologies. |
| format | research article |
| id | ir-11408-5712 |
| institution | My University |
| publishDate | 2023 |
| publisher | TechnoScience Academy |
| record_format | dspace |
| spelling | ir-11408-57122023-06-23T16:24:50Z A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery Kumbirayi Kwenda Noreen Sarai Tinashe Gwendolyn Zhou Systems Analyst, Kunda.org, Harare, Zimbabwe Computer Science, Midlands State University, Gweru, Zimbabwe Information Systems, Midlands State University, Gweru, Zimbabwe Social Media Data Mining Sentiment Analysis Knowledge Data Discovery Social networks have become a vital component in personal life. People are addicted to social network features, updating their profile page and collaborating virtually with other members have become daily routines. Web data mining is a new trend in current research studies. This study sought to develop a framework for social media data mining and analysis for the betterment and advancement of products (art effects) and services (exhibitions) with in the contemporary art industry of Zimbabwe through a case study of the Zimbabwean National Art Gallery. The information for this paper was gathered through the use of in-depth interviews, questionnaires, key-word search and API from the organization’s social media twitter handle were used to get the data for analysis. Focus group participants were chosen from the National art gallery and a matching number was selected from the artist who makes the artworks which will be soles or exhibited through the national art gallery. The findings suggested that, yes it is possible to inform the next batch of products with information mined from analyzing the sentiments or reviews of the previous set of artworks. Hence with this in mind the researchers managed to develop a framework which can be used to implement social media mining in the art sector of Zimbabwe. The proposed framework tried to handle the major limitations in current web mining frameworks by handling challenges such as special symbols, slang use, Data Validity analysis, time frame, and methodologies. 7 1 194 209 2023-06-23T16:24:49Z 2023-06-23T16:24:49Z 2021-02-14 research article https://cris.library.msu.ac.zw//handle/11408/5712 https://doi.org/10.32628/CSEIT217121 Copyright: © the author(s), publisher and licensee Technoscience Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non- commercial use, distribution, and reproduction in any medium, provided the original work is properly cited International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2456-3307 open TechnoScience Academy |
| spellingShingle | Social Media Data Mining Sentiment Analysis Knowledge Data Discovery Kumbirayi Kwenda Noreen Sarai Tinashe Gwendolyn Zhou A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title | A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title_full | A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title_fullStr | A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title_full_unstemmed | A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title_short | A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery |
| title_sort | framework for social media data mining and analysis to product and service development- case of the zimbabwean national art gallery |
| topic | Social Media Data Mining Sentiment Analysis Knowledge Data Discovery |
| url | https://cris.library.msu.ac.zw//handle/11408/5712 https://doi.org/10.32628/CSEIT217121 |
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