This track focuses on the latest developments in natural language processing technologies and their applications in business contexts. Researchers are invited to present innovative solutions that enhance decision-making and operational efficiency through NLP.

This session explores various data mining methodologies that uncover valuable insights in economic data. Contributions should highlight case studies and applications that demonstrate the impact of data mining on economic analysis.

This track emphasizes the role of machine learning in predictive analytics, particularly in business forecasting and trend analysis. Papers should discuss novel algorithms and their effectiveness in predicting economic outcomes.

This session examines how big data analytics can inform and transform business strategies. Submissions are encouraged to showcase frameworks and case studies that illustrate the strategic advantages of leveraging big data.

This track delves into sentiment analysis techniques and their applications in understanding consumer behavior and market trends. Researchers are invited to present methodologies that analyze social media and other text sources for actionable insights.

This session focuses on the integration of chatbots and AI technologies in enhancing customer engagement and service delivery. Contributions should explore design, implementation, and the impact of these tools on customer satisfaction.