43 citations · 104 across the 9 of their papers we have counts for
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cs.IR2020
The hypergeometric test performs comparably to TF-IDF on standard text analysis tasks
Paul Sheridan, Mikael Onsjö
Term frequency-inverse document frequency, or TF-IDF for short, and its many variants form a class of term weighting functions the members of which are widely used in text analysis…
cs.IR2019★ 4 cited
The Literary Theme Ontology for Media Annotation and Information Retrieval
Paul Sheridan, Mikael Onsjö, Janna Hastings
Literary theme identification and interpretation is a focal point of literary studies scholarship. Classical forms of literary scholarship, such as close reading, have flourished w…
cs.IR2018★ 16 cited
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise
Paul Sheridan, Mikael Onsjö, Claudia Becerra +2
Collaborative filtering based recommender systems have proven to be extremely successful in settings where user preference data on items is abundant. However, collaborative filteri…