The advancement of technology has enabled people to share their views and opinions via online social networks with family, friends, and the world at large. Despite other modes of communication such as “audio” and “video,” people prefer to express their emotions through “text” (the most common mode of communication) and “facial expressions.”
The analysis and detection of emotions from texts are currently being studied by researchers across various fields. Emotion refers to the feeling or reaction towards a certain event or situation, e.g., “Happy“, “Sad“, “Suprise“, “Angry“, and “Fear“.
Emotions and sentiments are commonly used as interchangeable terms; however, sentiments, in general, give the concept of the polarity of emotions such as positive, negative, and neutral. The positive polarity reflects favorable feelings toward an object, the negative polarity expresses unfavorable feelings, and the neutral polarity indicates no feelings.
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Twitter is a well-known social networking platform that allows its users to share or receive text-based messages or posts limited to 140 characters. Due to its popularity for text analysis, we have conducted a study to analyze the emotions and sentiments of people after the FIFA World Cup 2022 Final from the tweets posted from December 18th to December 19th, 2022. Using Python, 20,000 tweets were analyzed to detect the sentiments and emotions of people.
Word Cloud
Worldcloud was created to analyze the most frequently used terms in the FIFA World Cup 2022 tweets. According to the results, the most frequently used words in tweets were “World Cup,” “Qatar,” “best,” “finals” “Messi,” “goat,” “deserves,” and “always.”
Sentiment Analysis
Sentiment analysis detected words with positive polarity, negative polarity, and no polarity in the Twitter data from December 18th to December 19th, 2022, on the FIFA World Cup. According to the results, positive polarity was found to be significantly higher, indicating a higher number of posts in favor of the World Cup final result.
Emotional Analysis
However, the emotional analysis showed higher levels of negative emotion, i.e., fear, followed by happiness and surprise. Current results demonstrate higher fear among football fans, which might be reported during the final match day, followed by happiness and surprise that might be reported post-match.
