Research and development of tools for designing space using Web information

我们从网上收集数据用于研究目的。特别是，Twitter数据是大规模收集的，其中包含位置信息。使用动作提取算法收集的数据伴随有诸如用户名、位置信息的信息，沿着有时间戳以及每个用户的相关联动作。由于可以抓取的查询或单个计算机的数量有限，我们使用了亚马逊等商业服务提供的云服务。此外，我们还开发了一种技术，可以反映人类在太空中的体验的准确性，并使用网络浏览器将其可视化在地图上，并将其放在网上供所有人查看。

We collected data from the Web for research purpose. In particular, Twitter data was collected on a large scale with location information. The collected data, using the action extraction algorithm, is accompanied by information such as user name, location information, along with a time stamp, and associated action for each user. Since there is a limited number of queries that can be crawled or computer of a single, we used the cloud services provided by commercial services such as Amazon. Further, we have developed a technology that reflects the accuracy of the space human experience and visualized them on a map using a web browser and made it available on the Web for everyone to see.