Description
The Social Discourse Analysis (SDA) tool generates hyper-personalized brand messaging by analyzing linguistic patterns and social media footprints. It creates detailed user profiles, adapts brand messages to individual preferences, and optimizes delivery for engagement. With features like linguistic mirroring, semantic adaptation, and automated A/B testing, the tool ensures scalable, privacy-compliant messaging tailored to user needs.
Tech Stack
- Python, NLP, Machine Learning
Contributions
- Developing NLP models to extract linguistic patterns and user-specific profiles, enabling hyper-personalized messaging.
- Integrating multimodal data sources, such as text and behavioral signals, to enhance semantic and syntactic adaptation.
- Building an automated pipeline for message generation and delivery, using A/B testing to optimize engagement.
- Ensuring compliance with data privacy regulations (GDPR, CCPA) by implementing ethical data handling practices.