Providing appealing brand names to newly launched products,
newly formed companies or for renaming existing companies is
highly important as it can play a crucial role in deciding its success
or failure. In this work, we propose a computational method to generate
appealing brand names based on the description of such entities. We use
quantitative scores for readability, pronounceability, memorability and
uniqueness of the generated names to rank order them. A set of diverse
appealing names is recommended to the user for the brand naming task.
Experimental results show that the names generated by our approach
are more appealing than names which prior approaches and recruited
humans could come up.