Sentiment analysis on the impact of K-12 program in the Philippines using Naïve bayes and lexicon approach with code switching

Addrian Carl B. Invento; Tristan James Lerias; Angie M. Ceniza

doi:10.1145/3176653.3176683

← Back to search

Sentiment analysis on the impact of K-12 program in the Philippines using Naïve bayes and lexicon approach with code switching

Closed

Addrian Carl B. Invento, Tristan James Lerias, Angie M. Ceniza

2017 ACM International Conference Proceeding Series Conference paper Cited by 4

Abstract

The implementation of K-12 program in the Philippines caused many issues concerning the preparedness of the country to implement it in regards to the country's resources. The ability of the people to afford the cost of the program, the facilities, the staff and equipment are some of the areas that this study will focus. This study will tell how well the program affects the people in the Philippines through analyzing the sentiments of their tweets and posts in social media as well as in online news articles. This research aimed to analyze English-Cebuano texts found in social websites and online news articles concerning on the impact of K-12 in the Philippines using Lexicon and Naïve Bayes approach with Code Switching to acquire the polarities of the texts if it is positive, negative or neutral. © 2017 Association for Computing Machinery.

Affiliations

University of San Carlos, School of Arts and Sciences, Department of Computer and Information Science, Philippines

View full text (DOI) →

Research at a Glance

Research at a Glance

Topics & SDG Alignment

Collaboration

Author Profile (Selected)

References Overview

Journal & Source

Metadata & Integrity