Topic Detection in Twitter Streams

Brought to you by: rania-ibrahim

Last Update: 2016-11-10

Browse Code

Get an email when there's a new version of Topic Detection in Twitter Streams

Topic detection in Twitter Streams code used in Paper "Exemplar-based Topic Detection in Twitter Streams". International AAAI Conference on Web and Social Media (ICWSM), 2015.

Project Activity

See All Activity >

Follow Topic Detection in Twitter Streams

Topic Detection in Twitter Streams Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Topic Detection in Twitter Streams!

Additional Project Details

Registered

2015-03-17

Report inappropriate content

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Start Free

Recommended Projects

Automated Twitter Poster
Free, easy, infinite Twitter posting automation.
Topic Maps API
The TMAPI project will develop a common API for accessing and manipulating topic maps.
Twitter++
A c++ wrapper for the Twitter API. I haven´t maintained this project and the wrapper is probably outdated in several areas since twitter has changed alot of their api. If you can use it or build upon it I will be happy to answare any questions I can.
MediaPipe Face Detection
Detect faces in an image
Influence Maximization via Martingales
This is the code used in the experiments of the following paper: Youze Tang, Yanchen Shi, and Xiaokui Xiao. "Influence Maximization in Near-Linear Time: A Martingale Approach." Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM, 2015. Please cite the paper if you choose to use the code.