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Social Media Analytics and Data Analysis Unit 5 – Processing and Visualizing Social Media Data: important questions for AKTU

Unit 5 (Processing and Visualizing Social Media Data) questions that AKTU repeats most often. This unit carries about 23 marks per paper. Start with the repeated questions, then the most asked topics.

Most repeated Unit 5 questions

  • Explain the concept of Collective Classification in network data. How does it differ from traditional classification methods, and what are its applications in social network analysis? (7 marks, 2025, Processing and Visualizing Data)
  • Describe the process of A/B testing in online advertising. How can it be used to optimize user experience and improve conversion rates? Discuss the challenges and limitations of A/B testing in a real-world context. (7 marks, 2025, Web Data Analytics Methods)
  • Discuss the role of Natural Language Processing (NLP) techniques in micro-text analysis on social media. How do NLP methods help in understanding trends, identifying social influencers, and analyzing opinion spread in social networks? (7 marks, 2025, NLP for Micro-text Analysis)

Most important Unit 5 topic

  • Processing and Visualizing Data (Unit 5: Processing and Visualizing Social Media Data) – asked 2 times in 2025

Most asked Unit 5 topics

  • Processing and Visualizing Data – asked 2 times
  • Web Data Analytics Methods – asked 1 times
  • NLP for Micro-text Analysis – asked 1 times

More Unit 5 previous year questions

  • What is Influence Maximization in social networks, and why is it important for viral marketing strategies? (2 marks, 2025, Processing and Visualizing Data)

Unit 5 syllabus topics

  • Processing and Visualizing Data
  • Social Media Visualization
  • Web Data Analytics Methods
  • NLP for Micro-text Analysis
  • Applications in Advertising