Bibliografie tematiche / IBM Watson Content Analytics

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Letteratura scientifica selezionata sul tema "IBM Watson Content Analytics"

Autore: Grafiati

Pubblicato: 25 luglio 2024

Ultima modifica: 19 luglio 2025

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Articoli di riviste sul tema "IBM Watson Content Analytics"

Rajeshwari, M., and Prasad K. Krishna. "IBM Watson Industry Cognitive Education Methods." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 4, no. 1 (2020): 38–50. https://doi.org/10.5281/zenodo.3766900.

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Data analytics converts bulk of data into insights for business, healthcare, insurance and education. An upcoming development in IBM’s data analytic approach towards education is cognitive learning systems. Human being and machine can communicate each other by the technologies that use Natural Language processing and Machine Language together in action. Presently, many students struggle for their education without any goals. In this sense, cognitive systems should improve student education and results with a customized perception of their learning. IBM has recently pointed his service on

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Zahraa Raji Mohi Al-zobaidy. "Artificial Intelligence in Natural Language Processing." International Journal of Science and Research Archive 13, no. 1 (2024): 370–77. http://dx.doi.org/10.30574/ijsra.2024.13.1.1638.

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Natural language processing is one of basic topics used by artificial intelligence techniques. realized it is role in content analysis. In this study we introduce artificial intelligence role in content analysis and data revealing process by using natural language processing in libraries specifically that is powerful in content analysis domain. applied to one of natural language processing systems used in content analysis as a resource of information for aim investment depends on analytic description theory. The most important result from this study : the ability of using natural language proc

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Sundas Jabeen Mirza, Etizaz Ali Shah, Farhad Ali Tamour, Hira Hussain, and Muhammad Bilal Khan. "The Role of Social Media Analytic in Crafting International Political Narrative." Critical Review of Social Sciences Studies 3, no. 2 (2025): 2456–68. https://doi.org/10.59075/gft9jn19.

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In the digital era, social media has become a powerful platform for shaping political discourse and influencing international narratives. This study explores the pivotal role of social media analytics in crafting international political narratives by examining how governments, political actors and non-state entities utilize data-driven insights to influence public opinion, engage global audiences, and shape geopolitical messaging. Adopting a qualitative research approach, the study conducts a thematic content analysis of relevant scholarly articles, case studies and policy reports to identify

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Vaccaro-Witt, G. F., Hilaria Bernal, Sergio Guerra Heredia, F. E. Cabrera, and J. I. Peláez. "Effect of Informational Divergence on the Mental Health of the Population in Crisis Situations: A Study in COVID-19." Societies 15, no. 5 (2025): 118. https://doi.org/10.3390/soc15050118.

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Informational divergence emerged as a significant phenomenon during the COVID-19 health crisis. This period was characterized by information overload and changes in the communication of public health recommendations and policies by authorities and media outlets. This study examines the impact of such divergence on the population’s mental health, focusing on primary emotions expressed in comments across digital ecosystems. A media EMIC approach was used to analyze digital ecosystems during March and April 2020. Data were collected from Twitter, YouTube, Instagram, official press websites, and i

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Taha, Sawsan, and Rania Abdel-Qader Abdallah. "Leveraging Artificial Intelligence in Social Media Analysis: Enhancing Public Communication Through Data Science." Journalism and Media 6, no. 3 (2025): 102. https://doi.org/10.3390/journalmedia6030102.

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This study examines the role of AI tools in improving public communication via social media analysis. It reviews five of the top platforms—Google Cloud Natural Language, IBM Watson NLU, Hootsuite Insights, Talkwalker Analytics, and Sprout Social—to determine their accuracy in detecting sentiment, predicting trends, optimally timing content, and enhancing messaging engagement. Adopting a structured model approach and Partial Least Squares Structural Equation Modeling (PLS-SEM) via SMART PLS, this research uses 500 influencer posts from five Arab countries. The results demonstrate the impactful

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Pyatnychuk, I. D., A. V. Tomashevska, N. I. Horogotska, and Yu V. Paska. "Digital-marketing: current challenges and development prospects." Marketing and Digital Technologies 8, no. 1 (2024): 150–61. https://doi.org/10.15276/mdt.8.1.2024.10.

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The aim of the article. The purpose of the article is to define modern challenges and prospects for the development of digital marketing using digital tools in conditions of uncertainty and dynamism of the business environment. The tasks of the article are: identify challenges in digital marketing; to form prospects for the development of digital marketing in modern conditions; identify the key areas of digital marketing development; to identify digital tools that are useful for the implementation of key areas of digital-marketing development. Analyses results. The article examines modern chal

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Leonenko, E. A., and S. V. Kunev. "RESEARCH OF THE COMPANY’S MARKETING ENVIRONMENT BASED ON DIGITAL TECHNOLOGY TOOLS AND A PROCESS FRAMEWORK." Scientific Review Theory and Practice 11, no. 7 (2021): 2122–37. http://dx.doi.org/10.35679/2226-0226-2021-11-7-2122-2137.

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The study of the marketing environment of an enterprise is one of the most difficult types of marketing activities, since it always contains an element of foreseeing a difficult and contradictory socio-economic object – the market, therefore, the content and forms of research of the marketing environment depend on the eco- nomic structure, external and internal conditions in which it is develops, and can vary significantly. In the 21st century, the processes of growth in the use of various digital tools in various areas of business are seriously accelerating. At the same time, the catalyst for

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Tsoi, Kelvin K. F., Felix C. H. Chan, Hoyee W. Hirai, et al. "Data Visualization with IBM Watson Analytics for Global Cancer Trends Comparison from World Health Organization." International Journal of Healthcare Information Systems and Informatics 13, no. 1 (2018): 45–54. http://dx.doi.org/10.4018/ijhisi.2018010104.

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Visual analytics is widely used to explore data patterns and trends. This work leverages cancer data collected by World Health Organization (WHO) across a hundred of cancer registries worldwide. In this study, the authors present a visual analytics platform, IBM Watson Analytics, to explore the patterns of global cancer incidence. They included 26 forms of cancers from eight different geographic regions which are United States, the United Kingdom, Costa Rica, Sweden, Croatia, Japan, Hong Kong and China (Shanghai). An interactive interface was applied to plot a choropleth map to show global can

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Hoyt, Robert Eugene, Dallas Snider, Carla Thompson, and Sarita Mantravadi. "IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive Statistics." JMIR Public Health and Surveillance 2, no. 2 (2016): e157. http://dx.doi.org/10.2196/publichealth.5810.

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Sribharathi, B., B. Vimal Mathew, MLA Sai Sethu, R. Dharanidharan, and A. Hareesh Kumar. "AI-POWERED TOOL FOR SUMMARIZING LARGE VOLUME OF CONTENT." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–8. https://doi.org/10.55041/isjem02865.

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Abstract—This project focuses on developing an AI-powered tool for efficiently summarizing large volumes of content using the IBM Watson platform. With the rapid growth of digital information, it has become increasingly challenging for individuals and businesses to process and extract key insights from lengthy documents, articles, and reports. The tool leverages advanced natural language processing (NLP) and machine learning algorithms available through IBM Watson’s suite of AI services, including Watson Natural Language Understanding and Watson Discovery. By analyzing textual content and iden

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Più fonti

Tesi sul tema "IBM Watson Content Analytics"

Slavětínský, Radek. "Analýza cloudových řešení Business Intelligence pro SME." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358847.

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The thesis is focused on the analysis of presently offered products supporting Business Intelligence (BI) which are affordable for small and medium-sized enterprises (SMEs). Current BI solutions available to SMEs are mostly offered via Cloud computing, specifically in the form of Software as a Service (SaaS) as it requires low initial acquisition costs. The objectives of this thesis are to analyse the work in applications for BI in cloud that can be used by SMEs and to analyse in detail the comparison the worldwide extended reporting tools distributed as SaaS in the lower price category. The t

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Libri sul tema "IBM Watson Content Analytics"

International Business Machines Corporation. International Technical Support Organization, ed. IBM Watson Content Analytics: Discovering actionable insight from your content. 3rd ed. IBM Corp., International Technical Support Organization, 2014.

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Zhu, Wei-Dong Jackie. IBM Content Analytics Version 2.2: Discovering Actionable Insight from Your Content. IBM, 2011.

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Corporation, International Business Machines, ed. IBM Content Analytics version 2.1: Discovering actionable insight from your content. Vervante, 2010.

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Frederick, Douglis, and Davison Brian D, eds. Web content caching and distribution: Proceedings of the 8th International Workshop, IBM T.J. Watson Research Center, Hawthorne, New York, USA, September 29-October 1, 2003. Kluwer Academic Publishers, 2004.

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Learning IBM Watson Analytics. Packt Publishing, Limited, 2016.

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Capitoli di libri sul tema "IBM Watson Content Analytics"

Mudura, Vlad Antoniu, Francesco Frosini, and Ernesto Iadanza. "IBM Watson Analytics for Managing Congestive Heart Failure." In EMBEC & NBC 2017. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5122-7_256.

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Holzinger, Andreas, Christof Stocker, Bernhard Ofner, Gottfried Prohaska, Alberto Brabenetz, and Rainer Hofmann-Wellenhof. "Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field." In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39146-0_2.

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Winters-Miner, Linda A., Pat Bolding, Thomas Hill, et al. "IBM Watson for Clinical Decision Support." In Practical Predictive Analytics and Decisioning Systems for Medicine. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-411643-6.00053-3.

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Kothai, G., S. Nandhagopal, P. Harish, S. Sarankumar, and S. Vidhya. "Transforming Data Visualization With AI and ML." In Advances in Business Information Systems and Analytics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6537-3.ch007.

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This chapter explores the ethical considerations and challenges associated with AI-driven visualizations. It highlights the importance of ethics in maintaining trust, fairness, transparency, and privacy. The chapter discusses key challenges such as bias, transparency, privacy, accountability, and accessibility. Strategies for addressing these challenges include implementing ethical AI frameworks, enhancing transparency, promoting fairness, ensuring privacy, and fostering an ethical culture. Case studies from IBM Watson and Microsoft AI are examined to illustrate these points. Future trends in AI and ML for data visualization are also considered, emphasizing the need for responsible use of technology.

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Kryshan, Oleksii. "INTELLECTUAL SYSTEMS AS A TOOL FOR FORMULATING AND IMPLEMENTING BUSINESS STRATEGIES." In Economy, entrepreneurship and business culture: transformations in the context of global instability. Publishing House “Baltija Publishing”, 2025. https://doi.org/10.30525/978-9934-26-565-5-18.

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The chapter presents a comprehensive approach to intelligent strategic business management, combining classical analysis methods and modern artificial intelligence algorithms. A review of leading solutions (IBM watsonx, SAP Analytics Cloud, Microsoft Dynamics 365 Copilot, Oracle NetSuite AI) is conducted with an assessment of their capabilities and limitations. A step-by-step method for building your own adaptive system is proposed: from formulating strategic goals and KPIs to consolidating data from ERP, CRM, BI and external sources, a modular architecture with foundation models, forecasting, simulation of "what-if" scenarios and AIgovernance, as well as an interface with interactive dashboards, chat and voice assistants. A mathematical model based on recurrent neural networks (LSTM/GRU) demonstrates an improvement in profit by more than 20% while reducing risk and increasing the Sharpe ratio. Testing with the LSTM model confirmed a profit increase of over 29%, reduced risk, and high forecast accuracy at computational cost. Practical recommendations are provided for data preparation, MLOps, explainability, security, and system implementation, providing a foundation for creating flexible, accessible, and transparent intelligent strategic business management systems.

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Yesufu, Lawal, and Sami Alajlani. "Enhancing Strategic Decision-Making With AI." In Advances in Finance, Accounting, and Economics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7036-0.ch018.

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Artificial intelligence (AI) revolutionises strategic decision-making by enhancing accuracy, efficiency, and agility across complex business landscapes. This study explores AI's role in improving decision quality, optimising resource allocation, fostering agility, and mitigating risks. Case studies from Google, Walmart, and IBM Watson illustrate how tools like predictive analytics and scenario planning drive innovation, operational efficiency, and personalised experiences. Ethical and operational concerns, such as bias, transparency, and workforce adaptation, are critically analysed alongside strategies like ethical AI frameworks and hybrid decision-making. Emerging trends, including explainable AI, IoT integration, and automated systems, highlight AI's transformative potential. The research emphasizes balancing innovation with ethical practices to achieve sustainable growth, competitive advantage, and resilience in a dynamic global environment. AI's success depends on responsible integration and addressing its challenges to unlock its full potential in strategic decision-making.

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Atti di convegni sul tema "IBM Watson Content Analytics"

Faizullov, Ilias, and Sergey Yablonsky. "Modern Advanced Analytics Platforms and Predictive Models for Stock Price Forecasting: IBM Watson Analytics Case." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.128.

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Tsoi, Kelvin KF, Felix CH Chan, Hoyee W. Hirai, et al. "Data Visualization on Global Trends on Cancer Incidence An Application of IBM Watson Analytics." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.397.

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Masruroh, Siti Ummi, Asyifa Tasya Fadilah, Khodijah Hulliyah, Ahmad Fadlan Ramadhan, Rizka Amalia Putri, and Mohamad Ali Irfan. "Implementation of the K-means Clustering Algorithm for Targeting Ads. Case Study: IBM Watson Analytics Car Insurance Customer Data." In 2023 11th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2023. http://dx.doi.org/10.1109/citsm60085.2023.10455449.

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Niggli, C., H.-C. Pape, and L. Mica. "Validation of IBM-WATSON Health Trauma Pathway explorer, a visual based analytics tool to predict outcomes of poly-trauma patients." In Deutscher Kongress für Orthopädie und Unfallchirurgie. Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1717426.

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Li, Qiuwen. "Text vs. Images: Understanding emotional expressions on social media during COVID-19 pandemic." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002031.

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Due to the global spread of COVID-19, people all around the world have been forced to change the way they communicate and interact with others. Keeping social distance and wearing masks helps prevent the spread of coronavirus, and also makes online social platforms increase in demand in an unprecedented way (Flynn, 2008). Prolonged social isolation during COVID-19 is likely to have negative effects on mental health and communication on an individual. Researchers have found evidence for caused and elevated anxiety disorders such as somatization, post-traumatic stress disorder, panic disorders a

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