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July 6, 2025Open Journal for Information TechnologyOpen Access

Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili

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Key Points

The algorithm demonstrates the potential to generate meaningful semantic networks from texts in low resource languages.
Using this approach, impactful connections can be created within digital communities, even when physical communities are lacking.
The development utilizes technology to enhance communication, offering a new way to foster relationships among users.
Greater emphasis on digital technology presents opportunities but also highlights the paradox of disconnection in connected environments.

Implication

Algorithm generates semantic networks from texts, indicating potential for digital technologies in community connection.

Abstract

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Cite This Study

Hanan Abu-Frih (2025) studied this question.

synapsesocial.com/papers/68c1b36054b1d3bfb60ea7af https://doi.org/10.32591/coas.ojit.0801.01001a

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Kiswahili Beyond Borders: Strengthening Africa's Lingua Franca in Digital and Academic Domains2025
2Digital Linguistics: The Transformation of Language in the Age of Social Media2012
3Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis2024 · 4 citations
4Social Isolation Among the Connected Generation: A ReviewReview · 2026 · 1 citations
5Bridging Swahili Communication Gaps: Real-Time Audio-to-Text Sentiment Analysis via Pre-trained NLP2025

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