论文标题
使用数据科学工具探索一个国家的政治脉搏
Exploring the political pulse of a country using data science tools
论文作者
论文摘要
在本文中，我们说明了数据科学技术来分析复杂的人类交流。特别是，我们将政党领导人的推文视为政治计划和思想的动态代理。我们还将其内容物的时间演变作为对特定事件的反应。我们使用适合社交媒体的新工具分析了推文中积极和负面情绪的水平。我们还培训人工智能，以认识到推文的政治隶属关系。 AI能够以71-75 \％的精确度预测推文的起源，而政治倾斜（左或右）的精度约为90 \％。在数据科学与政治分析之间的界面上，这项研究旨在将其视为跨学科性质的概念。
In this paper we illustrate the use of Data Science techniques to analyse complex human communication. In particular, we consider tweets from leaders of political parties as a dynamical proxy to political programmes and ideas. We also study the temporal evolution of their contents as a reaction to specific events. We analyse levels of positive and negative sentiment in the tweets using new tools adapted to social media. We also train an Artificial Intelligence to recognise the political affiliation of a tweet. The AI is able to predict the origin of the tweet with a precision in the range of 71-75\%, and the political leaning (left or right) with a precision of around 90\%. This study is meant to be viewed as a proof-of-concept of interdisciplinary nature, at the interface between Data Science and political analysis.
