Exploring Sentiment Extraction from Dota 2 Update 7.33 “The New Frontiers” Tweets Using STANZA and NLTK

Abstract

Updates of a game can give a different experience while playing and sometimes it becomes the most awaited and decisive point for players who have left the game to return. Updates can come in the form of gameplay changes or character skin updates. Dota 2 game has complex game elements ranging from choosing heroes to choosing the right items to counter the opponent's hero. The big updates provided by the Dota 2 game are always awaited by casual to professional players and also enthusiasts of the game, some update may lead to negative impact in gameplay and otherwise. In this study, a classification will be carried out from the results of sentiment analysis given by people on the biggest Dota 2 ver 3.33 update from twitter. This update overhauls many elements in the game and to find out whether there are many people who like it or not, the test was conducted. From the results of the sentiment analysis, a comparison of the automatic targeting using the Stanza and NLTK libraries is also performed, which results in a different number of positive, neutral and negative statement values.