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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61250
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â Text visualization plays a critical role in extracting meaningful insights from large textual datasets. Among various techniques, word clouds, word-level visualizations, and document visualization methods are widely used for summarization, exploration, and knowledge discovery. This paper presents a comprehensive review of these techniques, covering their methodologies, design principles, applications, advantages, and limitations. The study also highlights recent advancements such as semantic word clouds, interactive visualization systems, and graph-based document representations. Finally, future research directions are discussed to enhance interpretability and analytical effectiveness.
KEYWORDS
Publication Date
4/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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