Malay posting analyzer based on sentiment analysis and political inclination matrix / Ariff Faize Roslan

Social media such as Facebook, Twitter and Blogs is a medium for people to communicate with each other through internet. Through social media, people share photos, video and status that can be used as a platform to share knowledge and information. Some organization used social media to gain opinions for certain objective. Current social media monitoring tools are able to track sentiment of opinions which are in English. This weakness is utilized by the political parties to spread rumors to influence community. Thus, this project enhances the current tool to monitoring social media that use sentiment analysis as the technique to track the sentiment of Malay’s opinion. This system able to extract file of opinion and it requires user to insert the dictionary of Malay’s and political words provided in form of comma separated value file (.csv file). Then the user needs to set up the word handling rules that consist of negation word, statement word and conjunction words and then continue the process. Afterwards, the process of sentiment analysis takes place which will give an output of positive, negative or neutral according to the opinion and political inclination. This system uses Java Netbeans platform to develop the system. This system will be helpful for an organization to handle multiple opinion file in Malay.