Rivers function as natural settings, bringing people together with various activities in the surrounding area. While the literature has overlooked the emotional values and wellbeing connection associated with rivers, knowing how the rivers are perceived by visitors and how the use of rivers has changed during the pandemic can assist decision-making for land use policies and planning. On the other hand, social media, assisting in articulating visitation patterns and moods proximate to the river, provides unprecedented insight to better macro- manage these areas. In this study, we employed Machine Learning to conduct a content analysis for rivers of Poland to expose User-Generated Content (UGC) through the visitors’ lens. We aim at understanding an essential cultural hegemony, the patterns of visits, and the moods of visitors. We further compared the results with the Covid-19 daily infections. The findings suggest an increased pressure on rivers during the pandemic, specifically at the time of the lowest sentiments. Our results may help in articulating patterns and moods proximate to the river that provide unprecedented practical insight and illuminate the path for further research proposals.

中文翻译：

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Covid-19 如何改变了我们游览河流的方式？大数据在情感分析中的应用


河流是自然环境，将人们聚集在一起，进行周边地区的各种活动。虽然文献忽视了与河流相关的情感价值和福祉联系，但了解游客如何看待河流以及大流行期间河流的用途如何变化，可以帮助制定土地使用政策和规划。另一方面，社交媒体有助于阐明河流附近的访问模式和情绪，为更好地管理这些区域提供了前所未有的洞察力。在这项研究中，我们采用机器学习对波兰的河流进行内容分析，以通过访问者的镜头揭示用户生成的内容 （UGC）。我们的目标是了解一个重要的文化霸权、访问模式和访问者的情绪。我们进一步将结果与 Covid-19 每日感染率进行了比较。研究结果表明，在大流行期间，河流的压力增加，特别是在情绪最低的时候。我们的结果可能有助于阐明靠近河流的模式和情绪，从而提供前所未有的实践见解，并为进一步的研究提案指明道路。