Opinion to Emotion Mining: A Sentiment Analysis towards Super Typhoon Ompong
Year: 2021
Type: preprint
Abstract: Twitter as one of the microblogging websites has gained its popularity dues to ease sharing of contents in various forms, which include text, images, and links. Social media users post and share real-time messages about their opinions or comments on a variety of topics, express their typhoon. The Supertyphoon Ompong has been considered a powerful typhoon that struck the island of Luzon on September 15, 2018. It has been the strongest typhoon to strike Luzon since Typhoon Megi in 2010. With this, many tweets have been generated expressing people’s real-time reactions and opinions whether it is positive, negative, or neutral regarding this phenomenon. Owing to the increasing high coverage and impact of Twitter, opinions of people on some issues and their emotion towards the super typhoon ompong were shared through social media can be significantly influenced. It is in this context, that the researchers conducted this study to perform the opinion to emotion mining based on the sentiment analysis towards super typhoon ompong were data was generated and collected through a post and message on Twitter. Specifically, it sought to determine the sentiments before, during, and after the landfall; and perform data visualization using a word cloud.
Source: SSRN Electronic Journal
DOI: 10.2139/ssrn.3838687
Institutions: University of the East, Department of Education
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3208602255