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Rights Holder and Contact
Coughlin, Robert K.
Description
Video Game Reviews Sentiment to Popularity is a project that sought to investigate the potential usage of video game reviews from aggregator websites to formulate a classification-based prediction for reaching a fixed threshold of number of users on Steam. Using a system of converting review documents to vectors before fitting them to a classification learner, the project was able to achieve a medium level of accuracy. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Coughlin, Robert K. (2023). Video Game Reviews Sentiment to Popularity. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J06D5T5H
Type
dataset
Identifier
ark:/20775/bb5574127d
Language
English
Subject
Task: Ranking Natural Language Programming (NLP) Algorithm: Semi-supervised learning Video games Task: Clustering Task: Binary classification Data Science & Engineering Master of Advanced Study (DSE MAS) Task: Regression Hyperparameter tuning Task: Forecasting Algorithm: Supervised learning Capstone projects DSE MAS - 2023 Cohort
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