Human Generated Topics: A Gold Standard for Automated Topic Evaluation.

摘要

With the ever increasing amount of online large scale text corpora including product reviews, news articles, research papers, and social media posts, researchers have proposed numerous automated topic generation approaches to help users understand and navigate this information. In this dissertation we propose an approach that improves upon previous research as well as introduce a means to directly and accurately compare the results of automated approaches against human judgments of usefulness. (Abstract shortened by ProQuest.).