Die Letzte Generation: A Study of Events and Reactions Around the Glueing Protests

30 April 2023, by Shaista Shabbir

Photo: Israel Palacio

Hamburg is a vibrant city with many events taking place throughout the year. To gain insights into these events, it is essential to observe and visualize them in a comprehensive manner. The proposed system aims to develop an automated application that can detect events related to the letzte- generation activist groups in Hamburg and extract relevant information such as the date and time of the event, location of the event, type of event, and description of the event

This information then later can be used by different stakeholders to analyse the event history, correlate new laws with the intensity and frequency of their events, and so on. The system will use NLP techniques such as keyword matching, NER, and machine learning algorithms to identify events and extract relevant information from different sources such as social media and news outlets. The extracted information will be visualized using different techniques such as heat maps, graphs, and maps to provide a better understanding of the events related to the letzte-generation activist groups in Hamburg. The proposed system will provide a valuable tool for tracking events related to the letzte-generation activist groups in Hamburg and understanding their impact.

Participants: Shaista Shabbir