Topic Distribution

Topic distribution refers to the statistical representation of how different themes are mixed within a single document or dataset. In topic modeling, it defines the probability of each topic appearing in a given text.

By analyzing these distributions, researchers can determine the primary focus of a whitepaper, news report, or social media conversation. It allows for the mapping of information across a temporal scale to see how the prominence of certain themes evolves.

For traders, tracking changes in topic distribution can signal shifts in market interest or the emergence of new technological trends. It is a way to quantify the thematic content of information.

This metric is essential for transforming text into a structured format for further analysis.