Fehmi Neffati

Date of Award

2024

Document Type

Thesis

Degree Name

Bachelors

Department

Natural Sciences

First Advisor

Roy, Tania

Area of Concentration

Computer Science

Abstract

This paper presents a web-based Twitter analytics dashboard developed to aggregate and visually display public discourse on environmental issues in Tampa Bay, emphasizing events like red tides caused by Karenia brevis. The dashboard collects over 63,000 tweets from 30,000 accounts between 2018-2022, offering an extensive overview of public conversations and sentiments. Employing a three-tiered labeling process, we categorized user accounts into academia, government, media, tourism, and the general public. This categorization facilitates an organized presentation of Twitter activities and trends. Our use of Support Vector Machine (SVM) algorithms achieved a 94% accuracy rate in classifying these accounts, enhancing the dashboard's capability to present data-driven insights. The dashboard serves as a powerful tool for policymakers, resource managers, and the general public, providing easy access to comprehensive statistics and trends in public discourse related to environmental events. This project demonstrates the potential of leveraging social media data for enhancing public awareness and engagement in environmental conservation efforts, aligning with the objectives of Tampa Bay's Comprehensive Conservation and Management Plan.

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