SMA Unit 5 Notes AKTU (BCAM061)

AKTU · BTECH · Semester 6 · Social Media Analytics and Data Analysis · Unit 5 · Notes

AKTU Social Media Analytics and Data Analysis (BCAM061) Unit 5 notes for B.Tech Semester 6 – Processing and Visualizing Social Media Data. Topics…

A preview is available. Sign in or check access options in the reader for the complete resource.

Unit 5: Processing and Visualizing Social Media Data – AKTU syllabus topics

Processing and Visualizing Data: Influence Maximization, Link Prediction, Collective Classification
Social Media Visualization: Collecting and Visualizing Data, Visualization and Exploration
Web Data Analytics Methods: Clickstream Analysis, A/B Testing, Web Crawling and Indexing
NLP for Micro-text Analysis: Trend and Opinion Spread, Social Influencers and Judgement
Applications in Advertising: Advertising Analytics, Game Analytics

Q2e. 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, 2024-25)
Q7a. 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, 2024-25)
Q7b. 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, 2024-25)
Q1e. What is Influence Maximization in social networks, and why is it important for viral marketing strategies? (2 marks, 2024-25)

AKTU paper codes: BCAM061