论文标题
使用情感分析在社交媒体中识别政治演讲中的共同趋势
Identification of Common Trends in Political Speech in Social Media using Sentiment Analysis
论文作者
论文摘要
社交媒体已被广泛用于商业和政治交流，除了其最初提供易于使用的渠道以生产和消费用户生成的内容的范围。除了成为流行的媒介外，社交媒体肯定会改变我们表达自己的方式或寻找新兴新闻和评论的地方，尤其是在陷入困境的时期。在本文中，我们研究了美国政治家的Twitter账目中汇集的语料库，并就他们的听众和他们传达的每个帖子所传达的情绪注释。我们的目的是检查不同政治意识形态的代表之间是否存在风格上的差异，针对不同的受众或不同的议程。我们的发现验证了传统书面交流中现有的知识，可以用来评估政治表达和对话的质量和深度，尤其是在导致选举的时期。
Social Media have been extensively used for commercial and political communication, besides their initial scope of providing an easy-to-use outlet to produce and consume user-generated content. Besides being a popular medium, Social Media have definitely changed the way we express ourselves or where we look for emerging news and commentary, especially during troubled times. In this paper, we examine a corpus assembled from the Twitter accounts of politicians in the United States and annotated with respect to their audience and the sentiment they convey with each post. Our purpose is to examine whether there are stylistic differences among representatives of different political ideologies, directed to different audiences or with dissimilar agendas. Our findings verify existing knowledge from conventional written communication and can be used to evaluate the quality and depth of political expression and dialogue, especially during the period leading to an election.
