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Exploring how real-world events shape social media trends using Twitter data analysis. Discover patterns, trends, and event archetypes through a robust analysis pipeline. Achieved 80% distinction under Prof. Martin Bekker.

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Twitter Event Signatures

Overview

This project investigates how real-world events are reflected in social media signals.

Event Signatures

The project achieved a distinction (80%) under the auspices of Prof. Martin Bekker and was moderated by ECSA.

The code for each event type follows a similar pattern and is available in the repository and hosted on Kaggle.

Extensive work was done to create an analysis pipeline for each event archetype using Big Data processing techniques, SQL, cloud computing and data science techniques displayed on Kaggle.

The report can be seen in the repo, and the poster, coupled with the slideshow, which was effectively presented and communicated to both technical and non-technical audiences.

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Exploring how real-world events shape social media trends using Twitter data analysis. Discover patterns, trends, and event archetypes through a robust analysis pipeline. Achieved 80% distinction under Prof. Martin Bekker.

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