Abstract
Recently, there has been a rise in internet usage due to the Covid-19 pandemic. Twitter has become a subject of interest in various studies because it provides a vast and diverse collection of data that is constantly updated. This abundance of data has inspired the development of a python-based discord bot, known as ChirpMap, which aims to visualize tweet data. By utilizing a python backend API, ChirpMap serves as the bot's brain and is integrated into the discord platform. This bot generates a heatmap based on user-provided keywords and the language of each tweet. The heatmap displays the distribution of tweets across different countries, as determined by the user's query within the discord bot. Despite successfully generating tweet counts and heatmaps based on user input, ChirpMap still requires further updates to improve its ability to understand natural language and accurately identify tweet locations.
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