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.
Authors
- S. Kannimuthu (ORCID: https://orcid.org/0000-0002-8606-7278)
- Monali Ravindra Borade (ORCID: https://orcid.org/0000-0002-0763-0764)
- B. Eswara Reddy (ORCID: https://orcid.org/0009-0003-8904-4682)
- Lovish Dhingra
- R Thanga Kumar
- S. Ganga
Institutions
- Jain University (IN)
- Shri Venkateshwara University (IN)
- Karpagam Academy of Higher Education (IN)
- Chitkara University (IN)
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