In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream, and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.The proposed approach has been experimented on two datasets: The COVID-19 and the FA CUP. This project has been explained with greater detail in a paper, publicly available in ComStreamClust .
Data file must be a pandas DataFrame in pickle format having these columns :
- text
- created_at
- status_id
For example :
warning: Data must be sorted based on created_at in ascending order
- pandas
- colorama