Hybrid Conferencee

International Conference on Natural Language Processing and Data Analytics (ICNLPDA - 26)

9th - 10th December 2026 | Budapest, Hungary

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Budapest. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Budapest event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Budapest conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Budapest, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Budapest."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Natural Language Processing for Business Applications

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.

Track 02

Data Mining Techniques for Economic Insights

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.

Track 03

Machine Learning Approaches in Predictive Analytics

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.

Track 04

Big Data Analytics in Business Strategy

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.

Track 05

Sentiment Analysis for Market Research

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.

Track 06

Chatbots and AI in Customer Engagement

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.

Track 07

Social Media Analytics for Business Intelligence

This track investigates the use of social media analytics as a tool for business intelligence and strategic planning. Papers should discuss techniques for extracting meaningful data from social media platforms to inform business decisions.

Track 08

Information Retrieval Techniques in Economic Research

This session highlights innovative information retrieval methods that support economic research and data analysis. Submissions should focus on the effectiveness of these techniques in accessing and analyzing relevant economic data.

Track 09

Cognitive Computing in Business Decision Support

This track explores the application of cognitive computing technologies in enhancing business decision support systems. Researchers are encouraged to present frameworks that integrate cognitive computing with traditional decision-making processes.

Track 10

Data Visualization Techniques for Economic Data

This session emphasizes the importance of data visualization in interpreting and presenting economic data. Contributions should showcase innovative visualization techniques that enhance understanding and communication of complex data sets.

Track 11

Pattern Recognition in Financial Analytics

This track focuses on the application of pattern recognition techniques in financial analytics to identify trends and anomalies. Papers should discuss the methodologies used and their implications for financial decision-making.