Koji Eguchi

A supervised topic embedding model and its application

2022 · PLoS ONE

We propose rTopicVec, a supervised topic embedding model that predicts response variables associated with documents by analyzing the text data. Topic modeling leverages document-level word co-occurrence patterns to learn latent topics of each document. While …