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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61250

A Comprehensive Review of Word Cloud, Word Visualization, and Document Visualization Techniques

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61250

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem61250

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.

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Authors

PV

Padiginati Vennela

ML

Marthala Likhitha

KLV

Kotipalli Lakshmi Vineesha

KRP

Kusuma Rechal Paul

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Abstract

– 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

text visualization word cloud tag cloud semantic visualization document visualization visual analytics natural language processing (NLP) topic modeling word embeddings graph visualization

Cite This Article

Padiginati Vennela, Marthala Likhitha, Kotipalli Lakshmi Vineesha, Kusuma Rechal Paul, "A Comprehensive Review of Word Cloud, Word Visualization, and Document Visualization Techniques," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem61250

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Publication Date

4/24/2026

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Review Rounds: 2

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