论文标题
在推文中检测与2018年巴西选举有关的群体信念，一项关于建模主题和情感分析的联合研究
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis
论文作者
论文摘要
2018年的巴西总统大选强调了替代媒体和社交网络（例如Twitter）的影响。在这项工作中，我们进行了一项分析，涵盖了与巴西选举中第二轮有关的出于政治动机的话语。为了验证类似的话语是否加强了对个人信念的群体的参与，我们当时收集了一系列与政治主题标签有关的推文。为此，我们使用了主题建模方法与意见挖掘技术的结合来分析积极的政治话语。使用葡萄牙语词典Sentilex-pt，我们从数据集中提取了与观点有关的前5个最常见的单词组。使用单词袋模型，在每个意见和观察到的群体之间进行了余弦相似性计算。这项研究使我们能够在数字政治情景中观察到对热情话语的加剧，以此作为传达类似信念的群体的一种欣赏和参与形式。
2018's Brazilian presidential elections highlighted the influence of alternative media and social networks, such as Twitter. In this work, we perform an analysis covering politically motivated discourses related to the second round in Brazilian elections. In order to verify whether similar discourses reinforce group engagement to personal beliefs, we collected a set of tweets related to political hashtags at that moment. To this end, we have used a combination of topic modeling approach with opinion mining techniques to analyze the motivated political discourses. Using SentiLex-PT, a Portuguese sentiment lexicon, we extracted from the dataset the top 5 most frequent group of words related to opinions. Applying a bag-of-words model, the cosine similarity calculation was performed between each opinion and the observed groups. This study allowed us to observe an exacerbated use of passionate discourses in the digital political scenario as a form of appreciation and engagement to the groups which convey similar beliefs.
