Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics

Semantic Component Analysis (SCA) is introduced, a novel topic modeling technique that overcomes limitations by discovering multiple, nuanced semantic components beyond a single topic in short texts which is accomplished by introducing a decomposition step to the clustering-based topic modeling framework.