The book "Mapping Twitter Data of Customers' Sentiment in The Shape of Heat Map" offers a comprehensive analysis of customer sentiments derived from Twitter data. In an era where competition among businesses is continuously increasing, the importance of data collection from social media is becoming increasingly clear. Twitter, as one of the world's leading platforms, serves as a valuable source for capturing and analyzing customer opinions. The authors, Renny Pradina Kusumawardani and Arif Djunaidy, explain the development of a text classifier that identifies positive and negative customer opinions and visualizes them in the form of a heatmap. By preprocessing the data, relevant attributes are determined and opinions are classified accordingly. The resulting heatmap enables companies to recognize and analyze the density of customer opinions through color gradients, supporting targeted improvements in services.