Text Categorization of Filipino Tweets Using Naïve Byes Algorithm
Sharmaine Justyne Ramos Maglapuz, Luisito Lolong Lacatan · 2021
The uses of social media platform twitter have progressed to a much wider array of uses due to the number of data it processes every day. It has been a storage for unstructured data that could be useful once arranged into meaningful formats and can produce helpful means to identify and categorize uploaded tweets real time. A Filipino Tweets Categorization system that categorizes tweet inputs into 4 different categories such as Politics, Entertainment, Sports and Technology was developed. Different data processing methods were used to Upon evaluation, the system was found to have effective results in terms of accuracy. As for the recommendations, additional data may be added as well as new categories to further improve the system's functionalities.