# A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets
## 1 Introduction  
In this paper, we present our study in developing a system for tourists review collection and visualization that accommodates on-spot reviews for less-known tourist spots. On-spot reviews are online opinions assumed to be posted at the target facility. In this study, we apply geotagged tweets as potential on-spot reviews, estimate their adequateness as reviews and further apply the verified tweets as on-spot reviews in the designed Park Supplementary Review System (PSRS). Recently, there has been a rapidly increasing demand for the application of information technologies in the field of tourism (defined with a blanket term of Tourism Informatics). Diverse Big Data have been applied to tourism research and have made considerable improvements, for example, in the development of recommendation systems ([PERSON] et al. [1]), navigation systems ([PERSON] et al. [2]), and regional content tourism support systems ([PERSON] et al. [3]). The main goal is to promote tourism of a specific place and to provide personalized information as per specific search. Apart from the developed systems, the taskof analyzing tourism information is of great importance. It enables the collection of large amounts of data to supplement the developed systems. By data sources, tourism-related Big Data generally fall into a few broad categories, which include the following. * User Generated Contents (UGC), defined as data generated by users which includes online textual and photo data, etc. ;
* Device Data (generated by devices), which includes GPS data, roaming data from mobile devices, Bluetooth data, etc. ;
* Transaction Data (generated by operations), with the likes of Web search data, Web page visiting data, or online booking data. These carry different information and different data types which may address different tourism issues as explained by [PERSON] et al. [4]. The Internet today has vastly altered the data landscape, by accumulating a lot of information. People, businesses, and devices have all become data factories that are pumping out large amounts of information to the Web each day, [PERSON] et al. [5]. This huge amount of data shared on the Internet can be utilized to foster tourism activities in a given specific area. Internet users can easily express their opinions about a product, service or a place they have recently visited using popular Social Networking Services (SNS), such as Twitter, Facebook, or Instagram and reach millions of other potential visitors. In this way, people tend to transmit their daily events in the form of diaries and textual messages using online social services such as blogs, online posts, microblogs, and other SNS. Among many SNS, the one that has been greatly popular for people to express their opinions, share their thoughts, and report real-time events has been Twitter ([[https://twitter.com/](https://twitter.com/)]([https://twitter.com/](https://twitter.com/)), accessed on 15 January 2022). Many companies and organizations have been interested in utilizing the data appearing on Twitter to study the opinions of people towards different products, services, facilities, and events taking place around the world. Through Twitter, a great number of messages (known as \"tweets\") are posted daily because of its simplicity. Moreover, with GPS technology implemented in mobile phones and computers, sightseers as well share their views and pictures regarding their tour experiences on Twitter. This type of information is valuable and important in facilitating tourism activities of the specific area tagged with GPS information. Online opinions thus can have a great impact on brand, product or place reputation. For this reason, some potential visitors make informed decisions based on online opinions.