TEXT DATA PROCESSING ALGORITHMS IN CORPORATE INFORMATION RESOURCES

Main Article Content

Аннотация:

The article highlights the multifaceted nature of corporate text data, encompassing documents, emails, customer feedback, social media content, and more. It discusses the challenges associated with processing these diverse forms of data, including issues of scale, accuracy, and privacy concerns. Moreover, the article underscores the increasing importance of text data processing in decision-making, competitive analysis, and enhancing customer experiences.

Article Details

Как цитировать:

Rahimov , . N., Karaxanova, S., & Saidova , Z. (2023). TEXT DATA PROCESSING ALGORITHMS IN CORPORATE INFORMATION RESOURCES. Наука и инновация, 1(26), 67–70. извлечено от https://in-academy.uz/index.php/si/article/view/21792

Библиографические ссылки:

Ahmed Al Ahdal, Manik Rakhra, Rahul R. Rajendran, Farrukh Arslan, Moaiad Ahmad Khder. Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning, Journal of Healthcare Engineering Volume 2023, Article ID 9738123, 15 pages.

N.Raximov, O.Primqulov, B.Daminova. Basic concepts and stages of research development on artificial intelligence // International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities http://www.icisct2021.org/ ICISCT 2021, November 3-5, 2021.

N.Raximov, J.Quvondikov, X.Dusanov, B.Daminova. As a mechanism that achieves the goal of decision management // International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities http://www.icisct2021.org/ ICISCT 2021, November 3-5, 2021.

N.Raximov, M.Doshchanova, O.Primqulov, J.Quvondikov. Development of architecture of intellectual information system supporting decision-making for health of sportsmen // 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021, September 6, 2022.

Muhamediyeva DT, Jurayev Z.Sh., Egamberdiyev NA, Qualitative analysis of mathematical models based on Z-number // Proceedings of the Joint International Conference STEMM: Science – Technology – Education – Mathematics – Medicine. May 16-17, 2019, Tashkent, pp. 42-43.

NAEgamberdiev, OTXolmuminov, Khrochilov, CHOOSING AN EFFICIENT ALGORITHM FOR SOLVING THE CLASSIFICATION PROBLEM, International Scientific Online Conference: THEORETICAL ASPECTS IN THE FORMATION OF PEDAGOGICAL SCIENCES, October 10, 2022, pp.154-158.