Data Analytics for Social Microblogging Platforms 1st Edition

Grab attention with the fast-moving world of short-form social conversations. Data Analytics for Social Microblogging Platforms, 1st Edition by Soumi Dutta; Asit Kumar Das; Saptarshi Ghosh; Debabrata Samanta, is a practical, research-grounded guide that turns noisy microblog streams into clear, actionable insights.

Discover proven techniques for extracting meaning from platforms like Twitter/X, Weibo and regional microblogs. The authors blend theory and hands-on approaches—covering sentiment analysis, topic modeling, network and influence analysis, real-time stream processing, and misinformation detection—so you can move from raw data to strategic decisions. Clear explanations of algorithms, evaluation metrics and ethical considerations make this book equally valuable to data scientists, researchers, social media analysts, and policy designers.

Whether you’re working in marketing in London, public health in Delhi, or civic analytics in New York, the book’s regional case studies and adaptable methodologies help you apply solutions to local challenges. Learn how to monitor public opinion, detect emerging trends, map information cascades, and design dashboards for stakeholders. Practical pseudocode, reproducible workflows and guidance on handling multilingual and geotagged data ensure immediate relevance to global and GEO-specific projects.

This edition balances academic rigor with real-world utility—ideal for graduate courses, professional upskilling, and team reference. If your goal is to turn microblog chatter into evidence-driven strategy, this book is the essential companion.

Order your copy of Data Analytics for Social Microblogging Platforms today and start transforming streaming conversations into measurable impact.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.