This project served as the Semi-Final assignment in the "Gelar Rasa 2023" competition. It was a collaborative effort within a team, resulting in a successful progression to the final round and securing the 2nd place.
The project utilized Twitter data scraping techniques employing the open-source library Tweet-Harvest. Data was collected from May 12, 2023, to November 12, 2023, focusing on the keyword 'pilpres'. The training and testing datasets comprised numerous tweets and replies from diverse media sources.
The primary objective was to analyze public sentiment concerning political news on Twitter. By developing a sentiment analysis model, the project aimed to provide insights into public responses to Pilpres 2024 issues.
The project received positive feedback from judges and showcased robust sentiment trend analysis throughout the 2024 Presidential Election period on Twitter.
This project secured 2nd place in the Gelar Rasa 2023 competition, highlighting its effectiveness in analyzing public sentiment on Twitter during significant political events.
For further details, refer to the project's documentation and codebase.