Slogatron: Advanced Wealthiness Generator
Bryant Chandler, Aadesh Neupane

TL;DR
This paper introduces Slogatron, an evolutionary algorithm-based system that generates catchy slogans by iteratively mutating initial samples to produce memorable and relevant advertising phrases.
Contribution
It presents a novel application of evolutionary algorithms for automated slogan creation, combining internal and external evaluations to improve and assess output quality.
Findings
Generated slogans are grammatically correct and semantically relevant.
Humans can identify the promoted item from the slogans.
The system produces valuable and somewhat effective slogans.
Abstract
Creating catchy slogans is a demanding and clearly creative job for ad agencies. The process of slogan creation by humans involves finding key concepts of the company and its products, and developing a memorable short phrase to describe the key concept. We attempt to follow the same sequence, but with an evolutionary algorithm. A user inputs a paragraph describing describing the company or product to be promoted. The system randomly samples initial slogans from a corpus of existing slogans. The initial slogans are then iteratively mutated and improved using an evolutionary algorithm. Mutation randomly replaces words in an individual with words from the input paragraphs. Internal evaluation measures a combination of grammatical correctness, and semantic similarity to the input paragraphs. Subjective analysis of output slogans leads to the conclusion that the algorithm certainly outputs…
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Taxonomy
TopicsArtificial Intelligence in Games · Language and cultural evolution · Advanced Text Analysis Techniques
