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Memelens with Python: Mining and Understanding Online Humor Trends
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Publisher: Independently Published
Published: Aug 17 2025
Pages: 284
Weight: 0.84
Height: 0.60 Width: 6.00 Depth: 9.00
Language: English
This book covers:
- Building a meme data pipeline with Python
- Image and text preprocessing techniques for memes
- Machine learning and deep learning models to predict meme virality
- Sentiment analysis and multimodal embeddings for understanding humor
- Social research applications to uncover cultural trends
- Marketing strategies for leveraging memes in campaigns
- Ethical, legal, and privacy considerations in meme research
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