ABSTRACT
Anorexia Nervosa (AN) is a health illness which related to eating habit and psychology. Patients who suffer from AN are obsess with being skinny and struggle everyday to lose more weight. They practice unhealthy eating habit in their own way, but each of them is trying to lose weight dangerously. They use Twitter as platform to share their experience and express themselves as an anorexic. There are still many people who have no idea that AN exists, and many still think that it is not a serious problem. So, it is important to find out how often and how frequent does users on Twitter discuss about AN. This is too see how far people are aware about AN. Thus, data mining method is used to mine the data collected from Twitter API because the data are in big size and unstructured format. In data mining, a technique called K-Means which include calculation is applied in order to perform clustering to the tweets extracted from Twitter.
PROJECT BACKGROUND
Anorexic nervosa (AN) is a health illness that is related to mental health, psychology and eating disorder. The patients will experience extreme low body weight and appear to have a thin figure. They practice an unhealthy eating habit, either they purge after eating, or they only eat food that is in very low calories, fat and sugar, which is most the time is less than the quantity human need to stay healthy. Anorexia can be potentially life-threatening especially when the patients do not know when to stop because in their mind, they are fat and they need to lose more weight.
Many of these patients share their ‘recipes’ to losing weight on social media such as blogs, forums or Facebook. Twitter is one the platforms where anorexia patients can find each other and eventually build a community to freely express how they feel and asking what they need to do without getting negative response from other people. On Twitter, we can find a few people who proudly stated in the bio of their account that they are anorexic. This is concerning because they are more people like them and more tips-and-tricks on how to be thin is shared.
In order to know how far anorexic has been affecting people on Twitter, a methodology is used to analyse the tweets posted. The methodology used is called data mining, which is a process of identifying and discovering useful or meaningful patterns or trends by analyzing raw data. This method can be useful to find out how frequent users on Twitter has been mentioning or discussing about anorexia nervosa.
Many of these patients share their ‘recipes’ to losing weight on social media such as blogs, forums or Facebook. Twitter is one the platforms where anorexia patients can find each other and eventually build a community to freely express how they feel and asking what they need to do without getting negative response from other people. On Twitter, we can find a few people who proudly stated in the bio of their account that they are anorexic. This is concerning because they are more people like them and more tips-and-tricks on how to be thin is shared.
In order to know how far anorexic has been affecting people on Twitter, a methodology is used to analyse the tweets posted. The methodology used is called data mining, which is a process of identifying and discovering useful or meaningful patterns or trends by analyzing raw data. This method can be useful to find out how frequent users on Twitter has been mentioning or discussing about anorexia nervosa.
PROBLEM STATEMENTS
- Patients of AN are sharing their unhealthy routines and harmful tips on Twitter, and other users might not realize this.
- The group of the people who suffers from AN grows larger everyday and it is concerning because more people might get motivated to be anorexic.
- Other users on Twitter also talk about AN. So, it is important to know how often does this people discussed and mentioned AN, so we know they are people who realize about the concerning situation.
OBJECTIVES
- To propose a system that will monitor and detect tweets related to AN.
- To design a coding on R Studio which will perform data mining to the data collected.
- To implement data mining methodology which will analyze and grouped data that has been collected into clusters.
METHODOLOGY
CONCLUSION
The program definitely help data analysts to find out more on Twitter users' perspective and opinion regarding anorexia nervosa. Plus, by using K-means, clustering the data has definitely become more easier in order to analyse the tweets. This program can also be applied to analyse any topic on Twitter, not just anorexia nervosa.
PROFILE
NAME
NUR HANIM BT SAIFULAZMAN
MATRIC NUMBER
BTBL15040227
COURSE
BACHELOR OF COMPUTER SCIENCE
(COMPUTER NETWORK SECURITY)
(COMPUTER NETWORK SECURITY)
SUPERVISOR
DR. AZNIDA HAYATI BINTI ZAKARIA @ MOHAMAD