Twitter将使用文本分析库进行分析，该库搜索描述特定情绪或感觉的韩文字符的特定字符串。我们要寻找和想象的情感或情绪有六大类：快乐/骄傲、爱、恐惧/羞愧、愤怒、怜悯和悲伤/挫折。情绪地图周期通过3个可视化序列。

Tweets will be analyzed using a text analysis library that searches for specific strings of Korean characters that describe certain moods or feelings. There are 6 main categories of feelings or moods we will search and visualize: joy/pride, love, fear/ shame, anger, pity, and sadness/frustration. Mood Map cycles through 3 visualization sequences.

 Courtesy of E/B Office

E/B办公室提供

第一个序列实时显示tweet的出现。第二个序列显示过去一小时内两种情绪的综合数据。第三是一天中一种情绪的集体数据。这个序列控制着与每一种情绪/感觉相关联的颜色的强度。这6个心情/感觉类别将与6个光纤照明相关，每一个都有一个特定的颜色。

The first sequence displays occurrences of tweets in real time. The second sequence is showing collective data of two moods in past one hour. And the third is collective data of one mood in a day. This sequence controls the intensity of color associated with each mood/feeling. The 6 mood/feeling categories will be associated with 6 fiber optic illuminators, each with a specific color.

 Courtesy of E/B Office

E/B办公室提供

通过光纤电缆的连接，每个照明器将与另外两个照明器配对。因此，当某些情绪的强度随时间变化时，参观者可以看到所有情绪之间的相对表达，每隔30秒动态变化一次。整体构图将传达给空间3D身体的情绪、感觉、强度和时间的变化。

Each illuminator will be paired to two other illuminators through the connection of fiber optic cables. So as the intensity of certain moods changes over time, visitors can witness the relative expression of all the moods compared to each other, changing dynamically over time every 30 seconds. The overall composition will express a flux of mood, feeling, intensity and time transmitted to a spatial 3D body.

建筑师：E/B办公地点：韩国首尔设计小组：Yong Ju Lee，Brian Brush Assembly Team：KwangYeon Cho，Ki范Park，Young-won chi，Byunghwa Kim，Min Jae Lee，Sang Ki nam，Daram Park，HyunWoo Yoo可视化：Noa Younse年：2013年

Architects: E/B Office Location: Seoul, South Korea Design Team: Yong Ju Lee, Brian Brush Assembly Team: KwangYeon Cho, Kibum Park, Young-Won Chi, Byunghwa Kim, Min Jae Lee, Sang Ki Nam, Daram Park, HyunWoo Yoo Visualization: Noa Younse Year: 2013