Journal of Soft Computing Exploration
Vol. 2 No. 1 (2021): March 2021

Analysis of twitter sentiment in COVID-19 era using fuzzy logic method

Devi Ajeng Efrilianda (a:1:{s:5:"en_US"
s:27:"Universitas Negeri Semarang"
})

Erika Noor Dianti (Unknown)
Oktaria Gina Khoirunnisa (Unknown)



Article Info

Publish Date
31 Mar 2021

Abstract

The sentiment is an assessment of attitudes towards certain events or things. Collecting opinion is known as a sentiment from existing data. This technique can also help analyze the opinions given by people in assessing certain objects. The best available source for gathering sentiment is the internet. In the era of the Covid-19 pandemic, many people access social media, especially Twitter to give their opinion on certain objects. Twitter is known as the social media that is accessed by users to post their opinions online. By using soft computing, especially fuzzy logic, it is possible to design, create and build bots that can analyze user opinions on Twitter. This model is used for data sentiment analysis on Twitter.

Copyrights © 2021






Journal Info

Abbrev

joscex

Publisher

Subject

Computer Science & IT

Description

Journal of Soft Computing Exploration is a journal that publishes manuscripts of scientific research papers related to soft computing. The scope of research can be from the theory and scientific applications as well as the novelty of related knowledge insights. Soft Computing: Artificial ...