Andrew Ryan | AndrewRyan@pitt.edu | December 2017
Twitch is a website where people livestream video games. A live feed of chat accompanies the video where people can talk to the streamer and viewers in real time. This project looks at a self-made corpus of 5,000,000 million comments collected from over 200 videos of a long running Twitch stream, the Northernlion Live Super Show. It looks at the relationship between the sentiment of the chat's comments with information such as viewership statistics, and the show docket.
A in-class presentation that provides an overview to the project.
The findings from this project.
One of the goals of this project is sharability of the data used. This folder contains data required to reproduce results including JSON files of comments, stream statistics, and a list of dockets.
My goals for this project.
Updates and roadblocks encountered in this project.
An MIT license
My reasonings for choosing an MIT license.
A folder containing files used to download the comments used in this project.
A folder containing older deprecated versions of Jupyter notebooks used in this analysis.
A folder containing the Jupyter notebooks used in this analysis, converted to markdown format.
A folder containing the images linked to in this project.