## 3 Methodology
### Methodology for Post Collection and Annotation
#### 3.1.3. Instructions for Coding Tweets  
To better understand a text, in general, and a social media post (e.g., a tweet), in particular, the tweet needs to be interpreted in its context. For example, \"I can tell you now, it's gonna be GS vs. Ca vs. #yuck #rematch\" talks about an NBA match. In this case, we should not be coding into events happening at the destination. Still, it is relevant to the study in the sense that tourists watched/read about a match that happened somewhere  
Figure 2: Graphical representation of the procedures applied to create the proposed database in this research work. else, affecting their emotions. This point falls into the leisure or recreational aspect of a tourist experience. Stage 1: Determine in scope and tourism-related reviews  
In-Scope: determine whether tweets are codable. Exclude those that cannot be read or analysed, e.g., tweets written in languages other than English, tweets with dominant non-English words, tweets composed of only URLs, and understandable tweets. Category of Tweeter: code whether a tweet is likely a tourism-related tweet or conveys something about tourism, such as travel, hotel, restaurant, transport, and hospitality. Level of confidence: indicate your level of confidence for your coding of the category of tweeter on a scale of 0-100 (0 = not confident at all, 100 = full confidence). Stage 2: Determine polarity, targets, aspects, emoticons, sentences, and words. Location target: This can be broken down into general, specific, unique, sub-target, and sub-target unique: so, an example of each might be Gold Coast (general), Suburb (specific), Palm Beach (unique), Pool (sub-target), Olympic Pool (sub-target unique)--with the \"unique\" codes being the name or unique identifier of the actual location--Palm Beach and Olympic Pool--and the others being broader categories of location. Other examples are general: e.g., Gold Coast, Brisbane (e.g., we made a side trip to Brisbane today), specific: e.g., \"we toured the city centre\" or \"a beautiful suburb\". Business target: Similar to location target, this can be broken down into general, specific, unique, sub-target, and sub-target unique: so, an example of each might be recreation, sport, AFL Football, Team, Pies (which is a colloquial term for the AFL football team the Magpies). Location and business/person targets, as often tweets will have both. Other target: This code is designed for those tweets that do not indicate any location and business targets. However, tweets with location/business target will also be coded again under \"other target\". We sometimes need to code a tweet into multiple categories of the target. For instance, a Pool can be a location sub-target, a target--general, or a sub-target, depending on the context. Target-General: the overall target is the natural environment, so you may code it as \"natural attraction\". Target-Specific: these are sub-targets. The natural attraction here includes four sub-targets: star (1.1), sky (1.2), sunrise (1.3), and wildlife-bat (1.4). Aspect: There might be a few aspects in each tweet, so we need to code each separately. An example of this is demonstrated in the following tweet: \"5 am so many stars in the sky. Off to the beach to try to catch the sunrise. Giant bats flying around.\"--In this case, no location or business is mentioned, but there are still some aspects. Aspect: aesthetic. In this case, the tweet discusses the aesthetic aspect of all four sub-targets. It is also possible that a tweet discusses different aspects. E.g., \"room is clean, staff is friendly\". Aspects would be cleanliness for the room and friendliness of the staff. Descriptors--giant, flying (for wildlife), so many (for stars) are often adjectives. Another example is the post \"Even though it is a good seafood restaurant, the prices are too high.\" This post contains two parts, of which the first part is composed of \"seafood restaurant\" as the target and \"food quality\" as an aspect.