The growth of social networking platforms such as Facebook and Twitter has bridged communication channels between people to share their thoughts and sentiments. However, along with the rapid growth and rise of the Internet, the idea of anonymity has also been introduced wherein user identities are easily falsified and hidden. Hence, presenting difficulty for businesses to give accurate advertisements to specific account demographics. As such, this study aims to identify gender and age group of Filipino social media accounts through analyzing post contents. Several features will be considered and various techniques will be adopted to process posts written in English, Filipino, and Taglish (Tagalog interspersed with English). The study will implement these techniques and record their compatibility and performance in a Filipino setting. A computational model capable of gender and age classification will be built as the final product.