ArazShilabin / ComStream

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.

ComStream

Introduction:

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 .

System Overview

How to use the code ? 🤗

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

Requirements

• pandas
• colorama

Contributers:

• Ali Najafi
• Araz.G Shilabin
• Ali Mohammad Pur
• Meysam Asgari
• Rahim Dehkharghani