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Multilingual, Temporal and Sentimental Distant-Reading of City Events
arXiv - CS - Social and Information Networks Pub Date : 2021-01-04 , DOI: arxiv-2102.09350
Mehmet Can Yavuz

Leibniz's Monadology mentions perceptional and sentimental variations of the individual in the city. It is the interaction of people with people and events. Film festivals are highly sentimental events of multicultural cities. Each movie has a different sentimental effect and the interactions with the movies have reflections that can be observed on social media. This analysis aims to apply distant reading on Berlinale tweets collected during the festival. On contrary to close reading, distant reading let authors to observe patterns in large collection of data. The analysis is temporal and sentimental in multilingual domain and strongly positive and negative time intervals are analysed. For this purpose, we trained a deep sentiment network with multilingual embeddings. These multilingual embeddings are aligned in latent space. We trained the network with a multilingual dataset in three languages English, German and Spanish. The trained algorithm has a 0.78 test score and applied on Tweets with Berlinale hashtag during the festival. Although the sentimental analysis does not reflect the award-winning films, we observe weekly routine on the relationship between sentimentality, which can mislead a close reading analysis. We have also remarks on popularity of the director or actors.

中文翻译:

多语言,时空和情感上的城市事件远距离阅读

莱布尼兹的《 Monadology》提到了城市中个体的感知和情感变化。这是人与人和事件的互动。电影节是多文化城市的高度情感活动。每部电影都有不同的情感效果,与电影的互动具有可以在社交媒体上观察到的反射。该分析旨在对电影节期间收集的柏林电影节推文进行远距离阅读。与近距离阅读相反,远距离阅读使作者可以观察大量数据中的模式。该分析在多语言领域是时间性和情感性的,并且分析了正负时间间隔。为此,我们训练了具有多语言嵌入的深度情感网络。这些多语言嵌入在潜在空间中对齐。我们使用英语,德语和西班牙语三种语言的多语言数据集训练了网络。经过训练的算法的测试分数为0.78,并在音乐节期间应用于带有Berlinale标签的推文。尽管情感分析无法反映获奖影片,但我们每周观察例行的情感关系,这可能会误导近距离阅读分析。我们也谈到导演或演员的受欢迎程度。
更新日期:2021-02-19
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