International Conference on Machine Learning and Social Data Analytics ICLSDA

Call For Papers

The ICLSDA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Science, Data Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Social media data for machine learning

Ethics of AI in social data analysis

Predictive modeling with social data

Machine learning for public health insights

Analyzing social trends using big data

Data privacy in social data analytics

Sentiment analysis in social networks

Machine learning applications in education

Impact of social data on policy making

Collaborative filtering in social data

User behavior prediction using analytics

Machine learning for community engagement

Social network analysis techniques

Data visualization for social insights

Predictive analytics for social good

Challenges in social data integration

Real-time analytics for social platforms

Machine learning and misinformation detection

Cultural implications of social data analytics

Future trends in social data research

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event