Based on prior knowledge, the feature "campaign" represents the number of contacts performed during a campaign for a specific client. To analyze its relationship with the task of whether a client subscribes to a term deposit or not, we can look for patterns or trends in the campaign values for the two target classes ('no' and 'yes').

Here's the dictionary with the feature and target relationship analysis:

```json
{
	"no": [1.0, 2.0, 3.0, 4.0, 5.0],
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

In this case, we have considered 5 typical campaign values for each target class. The actual range of values for the campaign feature can vary based on the dataset and specific analysis.