Twitter sentiment analysis about economic recession in indonesia

Fauzan Prasetyo Eka Putra; Fairuz Iqbal Maulana; Nawawi Muhammad  Akbar; Wicaksono  Febriantoro

doi:10.31763/businta.v7i1.592

Authors

Fauzan Prasetyo Eka Putra Universitas Madura
Fairuz Iqbal Maulana Bina Nusantara University
Nawawi Muhammad Akbar Airlangga University
Wicaksono Febriantoro University College London

DOI:

https://doi.org/10.31763/businta.v7i1.592

Keywords:

sentiment analysis, twitter, perspective, indonesia, Recession

Abstract

As one of the most popular social media platforms, Twitter enables users to express their opinions on diverse concepts, products, and services. Large quantities of data shared as tweets can be mined for user feedback and used to improve the quality of products and services. Using Twitter data and social media sentiment analysis, tracking how people feel about the recession in real time is possible. As a consequence, relevant organizations or governments can take preventative measures against the disinformation and unlawful conduct caused by the effects of the recession. This study aims to determine if there is a correlation between how people on Twitter feel about the recession. This study's data acquisition utilized "Recession"-tagged Twitter remarks from 2023. This study analyses filtered tweets for sentiment, emotion, word usage, and trends. According to the findings, 94% of tweets had benign sentiments, 4% had positive sentiments, and 2% had negative sentiments. Tweets with moderate subjective valence cluster in the middle of the polarity scale (between 1 and +1), while tweets with strong subjective valence are dispersed throughout the scale

Author Biography

Fairuz Iqbal Maulana, Bina Nusantara University

Lecture Bina Nusantara Computer Science Department

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