  Many cities around the world are aspiring to become. However, smart
initiatives often give little weight to the opinions of average citizens.
  Social media are one of the most important sources of citizen opinions. This
paper presents a prototype of a framework for processing social media posts
with municipal decision-making in mind. The framework consists of a sequence of
three steps: (1) determining the sentiment polarity of each social media post
(2) identifying prevalent topics and mapping these topics to individual posts,
and (3) aggregating these two pieces of information into a fuzzy number
representing the overall sentiment expressed towards each topic. Optionally,
the fuzzy number can be reduced into a tuple of two real numbers indicating the
"amount" of positive and negative opinion expressed towards each topic.
  The framework is demonstrated on tweets published from Ostrava, Czechia over
a period of about two months. This application illustrates how fuzzy numbers
represent sentiment in a richer way and capture the diversity of opinions
expressed on social media.
