For now, the evidence suggests that even with intense curation, scrutiny and validation, topic models are not particularly well-suited for classification. Instead, their strength lies in exploratory analysis, where they can serve as tools of suggestion: Topic models can help guide researchers toward more curated measurement instruments informed by a human understanding of the data, its context and linguistic semantics more broadly.
