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International Conference on Natural Language Processing and Data Analytics

ICNLPDA

11th Feb – 12th Feb 2027 Oshawa, Canada

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

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Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 8 SDG 9 SDG 12
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.
SDG 8 SDG 9
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.
SDG 8 SDG 9
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.
SDG 8 SDG 9
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.
SDG 8 SDG 9
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.
SDG 12 SDG 9
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.
SDG 9 SDG 12
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.
SDG 8 SDG 9
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.
SDG 8 SDG 9
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.
SDG 9 SDG 12
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.
SDG 9 SDG 12
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.
SDG 8 SDG 9