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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| Main Authors: | , , |
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| Format: | research article |
| Published: |
TechnoScience Academy
2023
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| Subjects: | |
| Online Access: | https://cris.library.msu.ac.zw//handle/11408/5712 https://doi.org/10.32628/CSEIT217121 |
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| Summary: | 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. |
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