Traversing Through Terabytes to Decode the Tapestry of Tangible Technology Trends

Understanding the intricate network of visible technology trends is crucial in today's fast-changing technological environment. We'll enter a terabyte-sized digital jungle as we strive to understand the complicated network of new technologies that are transforming our world. The exponential increase in digital data demands sophisticated techniques for making sense of changing tech landscapes. In "Traversing Through Terabytes to Decode the Tapestry of Tangible Technology Trends," the authors provide an innovative method that brings together Natural Language Processing (NLP), Machine Learning (ML), and Network Analysis. Using natural language processing, the technique extracts relevant phrases and themes from large amounts of raw textual data. Machine learning algorithms interpret speech and forecast trends. In contrast, network analysis uncovers the deep relationships between numerous technical fields. Our solution beats standard methods after rigorous testing. This would help stakeholders grasp technology trends and make better strategic decisions.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911315
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Traversing Through Terabytes to Decode the Tapestry of Tangible Technology Trends

S. Kannimuthu, Monali Ravindra Borade, B. Eswara Reddy, Lovish Dhingra et al.
Digital Games and Media
article

Traversing Through Terabytes to Decode the Tapestry of Tangible Technology Trends

S. Kannimuthu, Monali Ravindra Borade, B. Eswara Reddy, Lovish Dhingra, R Thanga Kumar, S. Ganga
article en

Abstract

Understanding the intricate network of visible technology trends is crucial in today's fast-changing technological environment. We'll enter a terabyte-sized digital jungle as we strive to understand the complicated network of new technologies that are transforming our world. The exponential increase in digital data demands sophisticated techniques for making sense of changing tech landscapes. In "Traversing Through Terabytes to Decode the Tapestry of Tangible Technology Trends," the authors provide an innovative method that brings together Natural Language Processing (NLP), Machine Learning (ML), and Network Analysis. Using natural language processing, the technique extracts relevant phrases and themes from large amounts of raw textual data. Machine learning algorithms interpret speech and forecast trends. In contrast, network analysis uncovers the deep relationships between numerous technical fields. Our solution beats standard methods after rigorous testing. This would help stakeholders grasp technology trends and make better strategic decisions.

Jain University (IN), Shri Venkateshwara University (IN), Karpagam Academy of Higher Education (IN), Chitkara University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Digital Games and Media
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