SENITMENT ANALYSIS ON WHO SOUTHEAST ASIA REGION ORGANIZATION (WHO SERO) USER COMMENT REVIEW AND OPINION MINING

Thet Thet Aung; Myat Mon Khaing; Khin Shin Thant; Hlaing Htake Khaung Tin

doi:10.17605/OSF.IO/V3Y9B

Authors

Thet Thet Aung University of Computer Studies, Hinthada, Myanmar
Myat Mon Khaing University of Computer Studies, Hinthada, Myanmar
Khin Shin Thant University of Computer Studies, Hinthada, Myanmar
Hlaing Htake Khaung Tin University of Computer Studies, Hinthada, Myanmar

DOI:

https://doi.org/10.17605/OSF.IO/V3Y9B

Keywords:

Opinion Mining, Sentiment Analysis, WHO SERO page, review comments, Facebook media, Information Gain (IG)

Abstract

At the present days, COVID-19 (Coronavirus) affections are spreading throughout the world from the beginning of affection of the town of Wuhan in China. Almost the whole world including many countries are facing difficulties. In Southeast Asia Region, schools, universities, industries, workshops, minimarkets and supermarkets are temporarily closed, and instructions are announced such as wash your hands, stay at home and use mask if people go outside on 24.3.2020. So people watch TV Channels, right sites on Social media and WHO information to know this disease’s update news without going outside. This paper mines reviews of user comments on WHO Southeast Asia Region Organization (WHO SERO) page on Facebook media from 24.3.2020 to 31.5.2020. Sentiment analysis is a technique to classify user’s opinion or emotions about specific domain and identifies phrases and emotions in a text of some sentiment. Sentiment analysis are classified as objective (facts), positive (happiness, satisfaction of the author) or negative (disappointment, dejection) using Information Gain (IG) method.