Benjamin Halilovic@quackmaster

This app is a powerful tool designed to assist content creators who have a substantial following of over 5000 viewers or followers. By leveraging the YouTube API, the app can efficiently read through all the comments and classify them according to their sentiment, toxic content, or spam. After classifying the comments, the app creates a word embedding using cohere AI, which helps to identify patterns and group similar comments together. These comments are then grouped into three clusters using KMeans. By clustering the comments, content creators can quickly analyze and understand the nature of the comments and identify any common themes or topics that resonate with their audience. Using the analysis of the clustered comments, the app generates a summary of the main themes and extracts the primary topics. These topics are presented to the content creators, along with suggested content ideas for future posts. This helps content creators to understand the interests and preferences of their audience better and create content that resonates with their viewers. In conclusion, this app provides content creators with a streamlined approach to understanding their audience's preferences and interests by analyzing the comments on their posts. By classifying, clustering, and summarizing comments, the app provides a valuable tool for generating new content ideas that will engage and excite their audience, leading to increased views and followers.