Github Devontae7 Youtube Comment Analysis The Dataset Includes Data Gathered From Videos On

Youtube Data Analysis Using Hadoop Pdf Apache Hadoop Big Data Github devontae7 comment analysis: the dataset includes data gathered from videos on that are contained within the trending category each day. search code, repositories, users, issues, pull requests we read every piece of feedback, and take your input very seriously. The dataset includes data gathered from videos on that are contained within the trending category each day. jupyter notebook.

Github Battaprikshit Youtube Data Analysis Skip to content. navigation menu toggle navigation. To use this dataset, load it into any data analysis tool such as r, python, or excel. the dataset is particularly useful for analyzing patterns and trends in videos, such as the best times to publish for maximum engagement, the most popular categories, and identifying top performing channels. The dataset includes data gathered from videos on that are contained within the trending category each day. issues · devontae7 comment analysis. Explore and run machine learning code with kaggle notebooks | using data from trending video statistics and comments.

Github Deepdk Data Analysis The dataset includes data gathered from videos on that are contained within the trending category each day. issues · devontae7 comment analysis. Explore and run machine learning code with kaggle notebooks | using data from trending video statistics and comments. In summary, this project combines data api, sentiment analysis, and web development to create a valuable tool for analyzing and exploring videos based on user sentiment. First, we are fetching comments from any video using the official api. then, using some methods, we will improve the quality of our set of comments by filtering out irrelevant comments and saving the most relevant comments in a text file. Video and author metadata: the dataset includes information about the videos (title, category, id) and authors (channel id, name), enabling contextual analysis. engagement metrics: columns such as "likes" and "replies" provide insights into comment popularity and discussion levels. There are three kinds of data files, the first one includes search items with snippet descriptions, the second includes video statistics, and the third includes channel statistic.