Information School, University of Washington
Game Graph: A Video Game Metadata Graph Database
INFX 595/596: Capstone
Game Graph is a video game metadata graph database and web application that provides an easy and extensible way to create, store, and retrieve metadata about video games. Building upon the work done at the Seattle Interactive Media Museum (SIMM) and the Game Metadata Research (GAMER) Group, this application envisions every possible point of information within a property graph database framework. By utilizing the graph database model, users are able to easily explore the relationships of video games.
The goal of this project is to provide a useful tool for cataloging video game metadata, while assisting research into video games as information objects. As a component to a larger system, Game Graph provides the structural foundation for digitally cataloging video game collections.
Video Game Reviews Text Analysis
INFX 598: Data Science III: Scaling, Applications, and Ethics
Fei Guo, Victor Li, Jonathan Lin, Xinyu Zheng
Video game have reached a saturation point where there are devoted media sites to reviewing video games as well as news around the gaming industry. However, there has not been research done on game reviews the same way that other entertainment industries like movies and music have. We seek to find textual patterns and characteristics in video game reviews by scraping established video game sites and conducting latent dirichlet allocation, jargon distance, and sentiment analysis to identify common writer characteristics and habits. We found that most writers typically score games between 60 to 70 out of 100 and use similar phrases to describe those games in their reviews. Further, we found through sentiment analysis that most writers use positively associated words, even for games that score poorly. We suggest more detailed analysis for games in certain genres to see if these results are consistent within a subpopulation of the reviews and propose suggestions for future work which include a write recommendation system.
INFX 598: Advanced Data Visualization
Choropleth map in d3.js that shows AKB48 group members by home prefecture.
Interactive Map of Video Game Makers
INFX 598: Advanced Data Visualization
Using leaflet.js, created an interactive map of video game companies in Washington State
Exploring and Predicting Frequently Reviewed Businesses for Yelp’s Dataset Challenge
INFX 573: Introduction to Data Science, Autumn 2014
John Fuller, Lauren Hubener, Jonathan Lin, Amy Trost
A project using Yelp Academic Data to explore ways to predict which businesses will receive more than 100 user reviews.
Github Link: http://wotashu.github.io/infx573-yelp/
UW/SIMM Video Game Metadata Schema: Controlled Vocabulary for DRM. Version 1.0
INFX 598: Metadata for Interactive Media, Autumn 2014
Jin Ha Lee, Andrew Perti, Stephen Keating, Jonathan Long Lin (2014)
SQL database schema for the Seattle Japanese Language School
INFX 543: Relational Database Management Systems, Spring 2014
Jonathan Lin, Justin Melde, Heather Walker, Heather Welch
Instructional video on basics of wotagei, a geeky Japanese dance.
LIS 560: Instructional and Training Strategies for Information Professionals, Spring 2014
Video Link: https://www.youtube.com/watch?v=08UriAkxM4w
A responsive redesign of University of Washington Health Sciences Library’s nurse toolkit webpage
LIS 510: Information Behavior, Winter 2014
Aidoru Base, an XML powered database of Japanese idol groups
INFX 542: Information Structures Using XML, Winter 2014
Patron Driven Acquisition in Academic Libraries
LIS 570: Research, Assessment, and Design, Autumn 2013
Azusa Higashigawa, Jonathan Lin
Video Link: http://youtu.be/Tpw5T1zGb28