THE ROLE OF DATA VISUALIZATION IN ENHANCING TEXTUAL ANALYSIS
PURPOSE: The article aims to explore the integral role of data visualization in enhancing textual analysis, elucidating its current applications, ethical implications, challenges, and future trends. METHODS: It investigates the evolution of data visualization methodologies and their integration w...
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| Format: | Article |
| Language: | English |
| Published: |
Trakia University
2023-12-01
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| Series: | Trakia Journal of Sciences |
| Subjects: | |
| Online Access: | http://tru.uni-sz.bg/tsj/Volume%2021,%202023,%20Supplement%201,%20Series%20Social%20Sciences/4%20%D1%81%D0%B5%D0%BA%D1%86%D0%B8%D1%8F/%D0%B3%D0%BE%D1%82%D0%BE%D0%B2%D0%B8/42-P.Milev.docx.pdf |
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| Summary: | PURPOSE: The article aims to explore the integral role of data visualization in enhancing textual
analysis, elucidating its current applications, ethical implications, challenges, and future trends.
METHODS: It investigates the evolution of data visualization methodologies and their integration
with textual analysis. The impact of machine learning and artificial intelligence on data visualization,
the representation of uncertainty, and the democratization of data visualization tools are thoroughly
analyzed. Various data visualization techniques like word clouds, network diagrams, hierarchical tree
diagrams, sentiment charts, and topic maps are also reviewed. RESULTS: Data visualization
significantly aids in decision-making processes and provides rich, contextual interpretations of textual
data. However, it also presents challenges related to data privacy, potential bias, and technical
expertise. Future trends indicate an increased integration of artificial intelligence, virtual reality, and
a broadening accessibility of data visualization. CONCLUSIONS: The article concludes that data
visualization plays a crucial role in textual analysis and will continue to influence its future landscape.
Despite the associated challenges and ethical considerations, the growing relevance and utility of data
visualization in a data-intensive era are evident. |
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| ISSN: | 1313-3551 |