# Digital Economy Network Summer Task — Data

来源：https://www.kaggle.com/competitions/digital-economy-network-summer-school-task/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>The supplied data is a subset of the <b>sentiment140</b> dataset. It contains # tweets extracted using the twitter api . The tweets have been annotated (0 = negative,  1 = positive) and they can be used to detect sentiment .
</p>
<h2>File descriptions</h2>
<ul>
<li><strong>train.csv</strong> - the training set</li>
<li><strong>test.csv</strong> - the test set</li>
<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>
</ul>

</ul>
<h2>Data fields</h2>
<ul>
<li><strong>id</strong> - an anonymous id unique to a given tweet</li>
<li><strong>text</strong> - the tweet</li>
<li><strong>target</strong> - 1 for positive tweet, 0 otherwise</li>
</ul>

### Acknowledgements

The official link regarding the dataset with resources about how it was generated is [here][1] <ul></ul>
The official paper detailing the approach is  [here][2]


[1]: http://help.sentiment140.com/for-students
[2]: http://bhttp://cs.stanford.edu/people/alecmgo/papers/TwitterDistantSupervision09.pdf