A rogue 1 score in text analytics refers to the degree to which a document or text data is different from the rest of the dataset. In general, a lower rogue 1 score indicates that the document is more similar to the rest of the dataset, while a higher rogue 1 score indicates that the document is more distinct or different.
In text analytics, a good rogue 1 score is typically considered to be below 0.5. A score below 0.5 indicates that the document is relatively similar to the rest of the dataset, and therefore likely contains valuable insights and information that can be used to inform business decisions.
It is important to note that the interpretation of rogue 1 scores can vary depending on the specific context and goals of the text analytics project. Some organizations may consider a higher rogue 1 score to be more desirable, as it may indicate that the document contains unique or novel insights that are not present in the rest of the dataset.
Overall, it is important to carefully consider the specific goals and objectives of the text analytics project when evaluating rogue 1 scores, as well as any other relevant factors, such as the size and diversity of the dataset.