Leveraging Text and Social Analytics for Business Intelligence

in Special Issue   Posted on March 11, 2021 

Information for the Special Issue

Special Issue Call for Papers:

In the current era of the modern computing world, innovations in business intelligence are most crucial to remain competitive and successful across the growing business trends. Consequently, businesses of all sizes (small and medium scale enterprises) have started investing in the next level of data analytics and business intelligence solutions. The efficient use of business intelligence methodologies extracts analyzes, and visualizes key performance indicators from the huge volume of enterprise big data. It reduces the cost and increases the speed of decision making with actionable intelligence. However, it is most critical for business organizations to make timely decisions due to numerous challenges. Some of the considerable concerns include ensuring data quality, absence of execution and training measures, unifying business intelligence among all user groups, targeting bigger needs with less human and computational resources, complex systems and software, huge infrastructure investment, and inability to deal with unstructured business data sources. Subsequently, these common business intelligence problems may sometimes make the business organization disgusted and may lose the value of their business. Though the use of business intelligence can be quite challenging initially, its potential benefits make it worth the investment.

Text analytics and social analytics are the two significant trends that greatly harness the power of business intelligence with improved business results and demonstrated business values. Text analytics enhances the business intelligence tools to identify patterns, trends, and actionable insights from the text to produce data-driven decisions for business applications. It leverages opportunities for business improvement and enables business services to adapt to client needs and expectations. Similarly, social analytics deals with collecting and interpreting statistical, digital data on how the users interact with an organization, specifically using online platforms. To the point, text and social analytics are the two primary forms of business intelligence that enable business organizations to forecast and respond to changing customer behaviors. It makes qualitative use of the business data and produces valuable outcomes through various techniques such as sentiment analysis, natural language processing, social network analytics, predictive modeling, and recommendation systems. Further, it is more determined that the appropriate use of social and text analytics can significantly empower business intelligence by actively solving its underlying challenges.

This special issue is intended to explore high-quality research articles on recent advances in text and social analytics for business intelligence applications.

Possible topics of interest include, but are not limited to:

  • Recent advances in text and social analytics for business intelligence
  • Data fusion using text analytics for business intelligence
  • Conceptual designs and architectures of text and social analytics for business intelligence applications
  • Dimensional modelling with text analytics for business applications
  • Trends in social analytics for user behavior analysis and prediction
  • Influence of natural language processing in business decision making
  • Challenges in text and social analytics for business analytics with proactive solutions
  • Advances in text and social analytics to deal with structured and unstructured business data
  • Effective strategies of social analytics for social media marketing and innovations
  • Text and social analytics applications for E-commerce applications
  • Advanced computational analysis paradigms using text and social analytics for business intelligence

Important Dates

Article Submission Due

30th July, 2021

Author Notification

12th October, 2021

Revised Article Due

12th December, 2021

Final Notification

28th February, 2022

Guest Editors

Dr. Seifedine Kadry

Associate Professor

Department of Mathematics and Computer Science

Beirut Arab University – Beirut Campus

Tarik El Jadida, Beirut, Lebanon

[email protected]

http://scholar.google.com/citations?user=EAVEmg0AAAAJ&hl=en

https://www.researchgate.net/profile/Seifedine_Kadry/

Dr. Yu-Dong Zhang (Eugene)

Professor, Department of Informatics,

University of Leicester,

University Road,

Leicester, LE1 7RH, UK

[email protected]

https://scholar.google.com/citations?user=A5lgIN8AAAAJ&hl=fr

https://www.researchgate.net/profile/Yu_Dong_Zhang/

Dr. Sujatha Krishnamoorthy

Assistant Professor, Department of Computer Science,

Wenzhou – Kean University, China

[email protected]

https://scholar.google.co.in/citations?user=k1wd4KUAAAAJ&hl=en

https://www.researchgate.net/profile/Sujatha_Krishnamoorthy

Dr. Seifedine Kadry has a Bachelor degree in applied mathematics in 1999 from Lebanese University, MS degree in computation in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in engineering science in 2017 from Rouen University. At present his research focuses on education using technology, system simulation, operation research, system prognostics, stochastic systems, and probability and reliability analysis. He is an ABET program evaluator. He is the editor in chief of Research journal of mathematics and statistics & ARPN Journal of Systems and Software. He is the associate editor of international journal of applied sciences (IJAS) and editorial board member of International Journal of Mathematics and Statistics, Journal of Theoretical and Applied Information Technology and International Journal of Engineering and Applied Sciences. He has published more than 270 research items out of which it has been cited 1192 times, his h-index is 10 and i10-index is 26.

Dr. Yu-Dong Zhang received a B.S. from Nanjing University of Aeronautics and Astronautics in 2004, and a M.S. from Nanjing University of Aeronautics and Astronautics in 2007. He received his Ph.D. degree in Signal and Information Processing from Southeast University in 2010. From 2010 to 2012, he worked at Columbia University as a post doc, and from 2012 he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. His research interests focus on knowledge engineering, image processing. He is the author and co-author of 43 SCI-indexed papers, which include JAMA Psychiatry , Knowledge-based Systems, Journal of Food Engineering, Sensors, Expert Systems with Applications, Entropy , Digital Signal Processing , Journal of Electromagnetic Waves and Applications, The Scientific World Journal, Mathematical Problems in Engineering , Computational and Mathematical Methods in Medicine, Journal of Biological Systems, Science in China-Information Science, IEEJ Transactions on Electrical and Electronic Engineering, etc. Besides, he is the author of 12 EI-indexed papers. He published two academic monographs (one in Chinese and the other in English). His papers are cited 1823 times with h-index of 26 till August/2014. He holds 6 patents, and 8 software copyrights.

Dr. Sujatha Krishnamoorthy

is the Assistant professor of Computer Science at Wenzhou – Kean University. Earlier to WKU she was the Research and Development Head at Sri Krishna college of Engineering and Technology, Coimbatore, India. She has over 7 years of research experience and over a decade long experience in teaching. Her specialization is Digital Image Processing with Image fusion. She has published over 60 papers in International refereed journals like Springer and Elsevier. She has delivered several guest lectures, seminars and chaired the session at various Conferences. She is serving as a Reviewer and Editorial Board Member of many reputed Journals and Technical Program Committee member of National Conferences and International Conferences. She has received a Best Researcher Award and her research interest is Image processing and her thesis was about the High Dynamic Range Image Processing. She has mentored several research projects under UGC-MRP and DST-CSRI schemes in her previous tenure. Currently she has extended her interest in computer vision and working with medical images.

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