AliNajafi1998/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.
This project helps social media analysts and marketers automatically identify emerging discussion topics from live Twitter feeds. It takes a stream of tweets and categorizes each tweet into an existing topic or identifies it as part of a new, previously unseen discussion. It's ideal for anyone monitoring social media trends in real-time.
No commits in the last 6 months.
Use this if you need to continuously monitor Twitter for new and evolving conversations without manual sifting through large volumes of data.
Not ideal if your primary goal is historical analysis of static tweet datasets or if you need to categorize tweets on platforms other than Twitter.
Stars
26
Forks
6
Language
Python
License
MIT
Category
Last pushed
Nov 07, 2022
Commits (30d)
0
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