Regional Information Video Searches Using Word Searches Generated by Twitter Posts

There are currently many services available on the Internet including map search sites such as Yahoo! Map, and video search sites such as YouTube. However, there is a limit to the information that can be obtained from each of these services. For example, on map search sites you can find the location of an establishment on a map, however, you cannot obtain information about the establishment itself or view videos of events being held there. On the other hand, although you can find videos on video sites, it is then difficult to find out the locations where the videos were taken in the first place. In addition, tourist information sites are able to provide information such as images and locations, but they offer few videos of events or detailed information about the establishment, limiting the overall amount of information that you are able to obtain at any one time. Our system is, therefore, based on the idea of combining multiple services to obtain many different types of useful information. However, completeness of the search results is low based on a search only using the facility name. By extracting words related to facilities from Twitter posts related to the searched facility and also using that word, many variations to the search results were given. In order to extract words related to facilities from Twitter posts, the results of a machine based learning classification were used in advance to determine whether or not the Tweet relates to a facility.