Currently, when attempting to add a list of keywords, if any keyword already exists, the entire process is halted, and no keywords are added. This makes it challenging to mass-add keywords, especially when working with long lists, as each duplicate keyword must be manually identified and removed.
I propose that the system allows new keywords to be added while skipping any existing ones. This would ensure that non-duplicate keywords are still added, improving efficiency when working with large datasets.
In scenarios where we have hundreds or thousands of keywords, manually checking for duplicates is impractical. Automating the process to skip duplicates would save significant time and effort for users managing large keyword lists.
Currently, when attempting to add a list of keywords, if any keyword already exists, the entire process is halted, and no keywords are added. This makes it challenging to mass-add keywords, especially when working with long lists, as each duplicate keyword must be manually identified and removed.
I propose that the system allows new keywords to be added while skipping any existing ones. This would ensure that non-duplicate keywords are still added, improving efficiency when working with large datasets.
In scenarios where we have hundreds or thousands of keywords, manually checking for duplicates is impractical. Automating the process to skip duplicates would save significant time and effort for users managing large keyword lists.