International Conference on Social Media Data Analytics and Influence (ICSMDAI - 26)

This track focuses on the latest advancements in social media analytics methodologies and tools. Researchers are invited to present novel approaches that enhance the extraction and interpretation of data from social media platforms.

This session explores techniques for sentiment analysis and opinion mining within social media data. Contributions should address challenges in accurately gauging public sentiment and the implications for business decision-making.

This track emphasizes the application of predictive modeling techniques to forecast trends and user behaviors based on social media data. Papers should demonstrate the effectiveness of these models in real-world business scenarios.

This session investigates the metrics and methodologies used to analyze user engagement on social media platforms. Contributions should highlight how understanding user behavior can inform marketing strategies and enhance customer relationships.

This track delves into network analysis techniques to understand social influence dynamics within online communities. Researchers are encouraged to present findings that reveal how influence propagates through social networks.

This session covers data mining techniques specifically tailored for extracting insights from vast social media datasets. Papers should focus on innovative algorithms and their applications in business contexts.