Sentiment Analysis on Educational Posts from Social Media

Social Networking on social media websites involves the use of the internet to connect users with their friends, family and acquaintances. Due to the increasing influence of social media such as Twitter, more number of users participates in the discussion and different users belong to different kind of groups. Positive, negative, and neutral comments are posted by the user and they participate in the discussion. The study mainly focused on the educational posts gathered from the Twitter social media. The web analytics technique was used in gathering and analyzing insights into community actions and attitudes through data collection, pre-processing, classification, and analysis of results. The collected tweets from February 1, 2017 to March 30, 2017 were 1,717 using the keywords Philippine education, DepEd K-12 and CHED K-12. After cleaning, 1,548 tweets were derived and classified as positive, negative, and neutral with 74.9% accuracy evaluation level. Results showed that mostly had expressed their negativity on the implementation of the K-12 program in the country. Measures such as hiring of teachers, sufficient allocation and utilization of funds for the procurement of books and resources, and sending the teachers concerned for training is deemed necessary to address the sentiments of the people. It is recommended then that an in-depth study of the K-12 implementation may be conducted to further improve the Philippine educational system. Results may also be presented to the officials of DepEd for validation and consideration to further enhance the implementation of K-12 program, as the next step of the study.