ABSTRACT

Sentiments and emotions are created for cities in literary texts; certain assets of cities are emphasized consistently as well. That’s why, literary texts have the potential to create a desire to visit the city for the readers. Computational literary techniques offer opportunities for diagnosing sentimental, emotional and topic-based content in literary texts which can be used to enhance insight development for successful destination marketing. ‘A Memento for Istanbul’ was chosen as the case of this study as this novel has rich spatial and temporal content about the city. Computational sentiment analysis, emotional analysis and topic modelling were utilized to analyse this novel from a destination marketing perspective. Sentiment and emotional analyses demonstrated that information about present-day Istanbul, as well as both the distant and modern history of the city, was delivered with different positivity levels and with different emotional patterns, which creates insights for message strategies for destination branding. The results of the topic modelling revealed that computational literacy techniques can be used to reveal specific assets of the city such as iconic buildings or specific experiences that one should have in specific parts of the city. This information can shed light on strategies with high potential for successful branding.

摘要

在文学文本中为城市创造情感和情感；城市的某些资产也一直受到重视。这就是为什么文学文本有可能为读者创造一种参观这座城市的愿望。计算文学技术为诊断文学文本中的情感、情感和基于主题的内容提供了机会，这些内容可用于增强洞察力，以实现成功的目的地营销。之所以选择《伊斯坦布尔的纪念品》作为本研究的案例，是因为这部小说具有丰富的关于这座城市的时空内容。计算情感分析、情感分析和主题建模被用来从目的地营销的角度分析这部小说。情绪和情绪分析表明，有关当今伊斯坦布尔的信息，以及城市的遥远和现代历史，以不同的积极性水平和不同的情感模式传递，这为目的地品牌的信息策略创造了洞察力。主题建模的结果表明，计算素养技术可用于揭示城市的特定资产，例如标志性建筑或城市特定区域应具有的特定体验。这些信息可以阐明具有成功品牌推广潜力的策略。主题建模的结果表明，计算素养技术可用于揭示城市的特定资产，例如标志性建筑或城市特定区域应具有的特定体验。这些信息可以阐明具有成功品牌推广潜力的策略。主题建模的结果表明，计算素养技术可用于揭示城市的特定资产，例如标志性建筑或城市特定区域应具有的特定体验。这些信息可以阐明具有成功品牌推广潜力的策略。