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Text Analytics for Competitive Intelligence

by Olivia Harris 1,*
1
Olivia Harris
*
Author to whom correspondence should be addressed.
Received: 30 August 2023 / Accepted: 20 September 2023 / Published Online: 30 October 2023

Abstract

This paper explores the application of text analytics in the domain of competitive intelligence, a critical aspect for businesses seeking to gain a competitive edge in today's volatile market environment. The use of text analytics, which encompasses natural language processing and machine learning techniques, has the potential to transform the way organizations analyze and interpret large volumes of unstructured data. By extracting valuable insights from diverse sources such as social media, customer reviews, and industry reports, businesses can identify emerging trends, customer preferences, and potential risks associated with their competitors. The paper delves into the methodologies and tools available for text analytics, highlighting the benefits and challenges of integrating these technologies into competitive intelligence strategies. Furthermore, it discusses the importance of data quality, ethical considerations, and the role of domain expertise in the successful application of text analytics for competitive advantage.


Copyright: © 2023 by Harris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Harris, O. (2023). Text Analytics for Competitive Intelligence. Management Analytics and Decision, 5(2), 44. doi:10.69610/j.mad.20231030
ACS Style
Harris, O. Text Analytics for Competitive Intelligence. Management Analytics and Decision, 2023, 5, 44. doi:10.69610/j.mad.20231030
AMA Style
Harris O. Text Analytics for Competitive Intelligence. Management Analytics and Decision; 2023, 5(2):44. doi:10.69610/j.mad.20231030
Chicago/Turabian Style
Harris, Olivia 2023. "Text Analytics for Competitive Intelligence" Management Analytics and Decision 5, no.2:44. doi:10.69610/j.mad.20231030

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ACS Style
Harris, O. Text Analytics for Competitive Intelligence. Management Analytics and Decision, 2023, 5, 44. doi:10.69610/j.mad.20231030
AMA Style
Harris O. Text Analytics for Competitive Intelligence. Management Analytics and Decision; 2023, 5(2):44. doi:10.69610/j.mad.20231030
Chicago/Turabian Style
Harris, Olivia 2023. "Text Analytics for Competitive Intelligence" Management Analytics and Decision 5, no.2:44. doi:10.69610/j.mad.20231030
APA style
Harris, O. (2023). Text Analytics for Competitive Intelligence. Management Analytics and Decision, 5(2), 44. doi:10.69610/j.mad.20231030

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References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Chen, H., & Liu, X. (2010). A Survey on Text Mining. IEEE Transactions on Knowledge and Data Engineering, 22(12), 1776-1788.
  3. Dwyer, S., & Dexter, A. (1998). The competitive intelligence cycle. New York: AMACOM.
  4. Hruschka, E. R., Khoussainov, R., Ageev, A., & Strassmann, P. (2010). Extracting medical information from clinical narratives. In Proceedings of the 2010 IEEE AMIA Annual Symposium (pp. 784-788). IEEE.
  5. Liao, S., & Liu, X. (2005). Weblog mining: A survey. SIGKDD Explorations Newsletter, 7(2), 27-37.
  6. Liu, X., & Chen, H. (2009). Introduction to text mining. Synthesis Lectures on Human-Centered Informatics, 2(1), 1-135.
  7. Tawfik, A. A., & Bashshur, R. (2007). Information technology applications in health. Annual Review of Biomedical Engineering, 9, 67-91.
  8. Thompson, H. (1990). The competitive intelligence function: Strategy, structure, and performance. Strategic Management Journal, 11(s1), S23-S45.
  9. Xiang, J., & Wang, Y. (2010). A privacy-preserving data mining framework for competitive intelligence. Expert Systems with Applications, 37(8), 5455-5462.
  10. Bhatnagar, V., Kalyanaraman, V., & Sheffi, Y. (2010). Identifying sentiment trends in online product reviews. In Proceedings of the 2010 IEEE International Conference on Data Mining (pp. 741-746). IEEE.