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Project # 22
Predictive Sentiment Mapping
| Team Lead: | Bishop Carreon |
| Other Team Members: | Maroune Aimouch | Parker Alanis | Adriel Colaco | Mela Acosta | Benjamin Yuhanna | David Hernandez | Thomas Diaz |
| Faculty Advisor(s): | Dr.Laboulluec |
| Department: | IMSE |
| Project Type: | Other Undergraduate |
| Title: | Predictive Sentiment Mapping |
| Abstract: | This project utilizes Python to build an automated intelligence pipeline capable of distilling actionable insights from vast, unstructured digital landscapes. By integrating Machine Learning (ML) and Natural Language Processing (NLP), the system identifies and quantifies underlying shifts in public sentiment that often precede measurable market movements. The framework focuses on filtering high-relevance signals from large-scale noisy environments, employing advanced text classification and anomaly detection to map emerging trends. The final objective is the development of a predictive model that transforms diverse data streams into a strategic outlook, enabling more informed decision-making through algorithmic pattern recognition. |
| Poster: | View Poster #22 (PDF) |
| Judges Scoring: | Submit Evaluation (judges only) |