What Sentiment and Fun Facts We Learnt Before FIFA World Cup Qatar 2022 Using Twitter and AI

TL;DR

This paper analyzes Twitter data related to FIFA World Cup Qatar 2022 using AI to gauge public sentiment and uncover fun facts, revealing overall positive feelings before the event.

Contribution

It introduces a new dataset of 130,000 tweets and applies machine learning and sentiment analysis to study public opinion on the World Cup.

Findings

People are generally positive about the World Cup opening

Collected tweets serve as a valuable dataset for sentiment analysis

The Vader algorithm effectively analyzes Twitter sentiment in this context

Abstract

Twitter is a social media platform bridging most countries and allows real-time news discovery. Since the tweets on Twitter are usually short and express public feelings, thus provide a source for opinion mining and sentiment analysis for global events. This paper proposed an effective solution, in providing a sentiment on tweets related to the FIFA World Cup. At least 130k tweets, as the first in the community, are collected and implemented as a dataset to evaluate the performance of the proposed machine learning solution. These tweets are collected with the related hashtags and keywords of the Qatar World Cup 2022. The Vader algorithm is used in this paper for sentiment analysis. Through the machine learning method and collected Twitter tweets, we discovered the sentiments and fun facts of several aspects important to the period before the World Cup. The result shows people are positive to the opening of the World Cup.