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.

本文提出了一个针对社交媒体帖子进行处理的原型框架，旨在考虑市政决策。该框架通过以下三个步骤实现：(1) 确定每个社交媒体帖子的情感极性，(2) 识别流行主题并将其映射到各个帖子，以及 (3) 将这两个信息合并成表示对每个主题表达的整体情感的模糊数。该框架在约两个月的时间里，使用捷克奥斯特拉发表的推文进行演示，展示了模糊数在更丰富方式中表示情感，以及捕捉社交媒体上表达的各种观点。