Importance of big data for analysing models in social networks and improving business
The digital revolution fuels business growth through participatory websites and active user involvement. However, literature lacks emphasis on profitable business-to-business transactions. User knowledge and big data search are valuable. Social media data analysis offers promising research. Technological advances enable commercial storage and analysis of large data volumes. Big data represents real-time, organised, and unstructured data sources. Managing vast networks poses challenges and advantages. Social network data grows daily, providing a rich data pool. This article demonstrates a data framework using text mining and natural language processing for social network big data analysis, achieving 98.30% successful in-time access and simultaneous applications.
Authors
- Zhenbo Zang
- Honglei Zhang (ORCID: https://orcid.org/0000-0002-8229-852X)
- Hongjun Zhu
Institutions
- Chongqing Technology and Business University (CN)
- Chongqing University of Science and Technology (CN)
- Yangtze Normal University (CN)
- Chongqing Academy of Science and Technology (CN)
- Civil Aviation Flight University of China (CN)
Publication Details
- Journal
- International Journal of Grid and Utility Computing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijguc.2025.147675
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00