Tweets mining for French Presidential Election

K. Wegrzyn-Wolska, L. Bougueroua
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引用次数: 20

Abstract

This paper describes a system which surveys the French Presidential Election trends from Twitter's discussions. This system carries out the automatic collection, evaluation and rating of tweets for evaluating the trends. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in politics. The article will first present a review of the literature in Social Media and Text Mining analysis for political purposes and then describe the work done for our system for collecting and manipulating Twitter's data.
为法国总统大选挖掘推文
本文描述了一个从Twitter讨论中调查法国总统选举趋势的系统。该系统对推文进行自动收集、评估和评分,以评估推文的趋势。本文的目的是讨论围绕在政治应用中使用社会网络分析和文本挖掘方法的观点的各种问题和挑战。本文将首先回顾社交媒体和文本挖掘分析的文献,然后描述我们的系统为收集和操纵Twitter数据所做的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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