An Emoticon-Based Sentiment Aggregation on Metaverse Related Tweets

Abstract

The metaverse is referred to as a virtual reality space, integrating the real world with the digital world. People have gained interest in this as many well-known companies like Facebook are entering this world of the metaverse. Most people are curious about the possibilities and future of the metaverse considering the various prospective applications it is going to offer like virtual meetings, learning environments and many more. However, there are also worries about potential negative effects as in the metaverse signals from the real world can be transmitted in the virtual world. In this regard, people express their feelings on various social media platforms. The various data obtained from this social media platform is a popular study subject as it gives an important insight into the thoughts of society towards a new event. Thus, in this work twitter, which is one of the extensive social media platforms internationally used to express thoughts, is chosen as the platform of study. Tweets are analyzed to assess people’s attitudes and tendencies towards an event. In the present generation, people express themselves not only with words but also emojis. Therefore, in this paper tweets compromising of both text and emojis are considered for analyzing human sentiments towards the metaverse and the potential risk associated with it. The dataset is compromises of tweets having the word the metaverse and hashtags the metaverse. Observed analysis shows an improvement of over 2.92% for the proposed method.