Memelens with Python: Mining and Understanding Online Humor Trends

By Mary M. Adepoju, Olaoluwa S. Yaya, Aishat O. Oyewunmi

In the ever-evolving landscape of online culture, memes are the pulse of humor, trends, and social commentary. MemeLens with Python: Mining and Understanding Online Humor Trends is a comprehensive guide for anyone seeking to explore the world of memes through data-driven analysis.
This book covers: Building a meme data pipeline with PythonImage and text preprocessing techniques for memesMachine learning and deep learning models to predict meme viralitySentiment analysis and multimodal embeddings for understanding humorSocial research applications to uncover cultural trendsMarketing strategies for leveraging memes in campaignsEthical, legal, and privacy considerations in meme researchWhether you are a data scientist, marketer, or cultural researcher, this book provides practical examples, Python code snippets, and case studies to equip you with the tools needed to study and interpret memes responsibly. Unlock the power of online humor and gain actionable insights into digital culture.

• Format: Paperback
• Language: English
• ISBN: B0FMRHZ32K
• ISBN13: 9798298548748
• Release Date: August 2025
• Publisher: Independently Published
• Length: 284 Pages
• Weight: 0.84 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"