2019 IEEE International Conference on Big Data

Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions

A Track in the IEEE Big Data 2019 Big Data Cup

Scoring

Each team will be scored based on private and public leaderboard scores, and the paper quality.

Public leaderboard scores will account for 20% of the score. Scores will be available to participants and visible publicly post an output submission.
Private leaderboard scores will account for 40% of the score. Scores will not be revealed to the participants during the competition.
Quality of paper will account for 40% of the score.

Code submission

The participants are expected to submit the required output files and source code. Trained models and dependencies are expected to be submitted to facilitate reconstruction of the code and its output for scoring purposes.

Note: The participants are permitted to use only open-source modules or packages for their algorithms.

Paper submission

Post result submission, the participants will get 15 days to submit an academic paper describing their algorithm and work.