  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.
