When is label sentiment analysis enabled in Comms. Mining?

Label sentiment analysis in Communications Mining is specifically enabled at the initiation of dataset creation. This is a crucial phase because it sets the foundation for how the data will be analyzed later. During this initial setup, you define the parameters and structure of the dataset, which includes how sentiment will be labeled and categorized within the data.

Enabling sentiment analysis at the initiation stage allows for a comprehensive framework during the subsequent phases of data analysis and labeling. This ensures that the analysis tools can effectively evaluate the sentiments expressed in the content right from the beginning, providing a cohesive integration of sentiment-related insights throughout the entire project.

In contrast, labeling sentiment during the labeling phase would imply that the sentiment analysis is dependent on the data already being collected, which does not align with the principles of setting up robust analytics frameworks initially. Once data analysis is completed, it would be too late to enable sentiment analysis since you would miss the opportunity to analyze sentiments alongside your original data. Lastly, enabling sentiment analysis before collecting data doesn't apply as it would not realistically reflect the sentiments present in the actual communications being mined.