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Machine Learning and Generative AI for Marketing

You're reading from   Machine Learning and Generative AI for Marketing Take your data-driven marketing strategies to the next level using Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835889404
Length 482 pages
Edition 1st Edition
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Authors (2):
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Nicholas C. Burtch Nicholas C. Burtch
Author Profile Icon Nicholas C. Burtch
Nicholas C. Burtch
Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Table of Contents (16) Chapters Close

Preface 1. The Evolution of Marketing in the AI Era and Preparing Your Toolkit FREE CHAPTER 2. Decoding Marketing Performance with KPIs 3. Unveiling the Dynamics of Marketing Success 4. Harnessing Seasonality and Trends for Strategic Planning 5. Enhancing Customer Insight with Sentiment Analysis 6. Leveraging Predictive Analytics and A/B Testing for Customer Engagement 7. Personalized Product Recommendations 8. Segmenting Customers with Machine Learning 9. Creating Compelling Content with Zero-Shot Learning 10. Enhancing Brand Presence with Few-Shot Learning and Transfer Learning 11. Micro-Targeting with Retrieval-Augmented Generation 12. The Future Landscape of AI and ML in Marketing 13. Ethics and Governance in AI-Enabled Marketing 14. Other Books You May Enjoy
15. Index

Introduction to sentiment analysis in marketing

In the fast-paced world of marketing, staying attuned to customer sentiments is not just beneficial; it’s a necessity. Sentiment analysis, or the process of detecting positive, negative, or neutral tones in text data, stands at the forefront of this effort, offering a lens through which marketers can view and understand the emotional undertones of customer interactions. This approach uses NLP, machine learning, and computational linguistics to systematically identify, extract, quantify, and study patterns within text. These patterns can range from the presence of certain keywords and phrases to the structure of sentences and the context in which terms are used.

The significance of sentiment analysis

The importance of sentiment analysis in marketing cannot be overstated. It acts as a compass, guiding brands through the vast and often turbulent sea of public opinion. By analyzing customer feedback, social media conversations...

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