Exploring the potential of Social Media Data using Text Mining to augment Business Intelligence

Authors

  • Sheshasaayee A Research Supervisor, PG and Research Department of Computer Science & Application, Quaid-E- Millath Government College for Women (Autonomous), Chennai 600 002
  • Jayanthi R PG and Research Department of Computer Science & Application, Quaid-E- Millath Government College for Women (Autonomous), Chennai 600 002

Keywords:

Social Media, Social Networking, Text Mining, Business Intelligence, Unstructured Text

Abstract

In recent years, social media has become world-wide famous and important for content sharing, social networking, etc., The contents generated from these websites remains largely unused. Social media contains text, images, audio, video, and so on. Social media data largely contains unstructured text. Foremost thing is to extract the information in the unstructured text. This paper presents the influence of social media data for research and how the content can be used to predict real-world decisions that enhance business intelligence, by applying the text mining methods.

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Published

2024-02-26

How to Cite

Sheshasaayee, A., & Jayanthi, R. (2024). Exploring the potential of Social Media Data using Text Mining to augment Business Intelligence. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(04), 738–742. Retrieved from https://ijact.in/index.php/j/article/view/133

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Section

Original Research Article