## Your Task
Each team is to develop an algorithm that determines what sort of sentiment a given set of tweet references - does the tweet have a *negative*, *neutral* or *positive* sentiment?

## Datasets
The following datasets are provided:

- **train.csv**: 20,610 tweets with the corresponding classification (sentiment) - integers "1", "2" and "3" indicate *negative*, *neutral* and *positive* sentiment, respectively.
- **test.csv**: 6,871 tweets with no labels - to be used for quantifying the performance of the algorithms.

## Rules
Please refer to the tab on 'Rules' and class slides provided on eDimension for more details.