We analysed sentiment and frequencies related to smell, taste and temperature expressed by food tweets in the Latvian language. To get a better understanding of the role of smell, taste and temperature in the mental map of food associations, we looked at such categories as 'tasty' and 'healthy', which turned out to be mutually exclusive. By analysing the occurrence frequency of words associated with these categories, we discovered that food discourse overall was permeated by `tasty' while the category of 'healthy' was relatively small. Finally, we used the analysis of temporal dynamics to see if we can trace seasonality or other temporal aspects in smell, taste and temperature as reflected in food tweets. Understanding the composition of social media content with relation to smell, taste and temperature in food tweets allows us to develop our work further - on food culture/seasonality and its relation to temperature, on our limited capacity to express smell-related sentiments, and the lack of the paradigm of taste in discussing food healthiness.

中文翻译：

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碎片化和有价值的：跟随食物推文中的情绪变化

我们分析了拉脱维亚语食物推文所表达的与气味、味道和温度相关的情绪和频率。为了更好地理解气味、味道和温度在食物联想的心理地图中的作用，我们研究了“美味”和“健康”等类别，结果证明它们是相互排斥的。通过分析与这些类别相关的词的出现频率，我们发现食物话语整体被“美味”所渗透，而“健康”的类别则相对较少。最后，我们使用时间动态分析来查看我们是否可以追踪食物推文中反映的气味、味道和温度的季节性或其他时间方面。了解与气味相关的社交媒体内容的构成，