Fuzzy Logic for Improving Interactive Evolutionary Computation Techniques for Ad Text Optimization
| Autor: | Quetzali Madera, Mario J. Garcia, Oscar Castillo |
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| Rok vydání: | 2015 |
| Předmět: |
Persuasion
business.industry Computer science media_common.quotation_subject Evolutionary algorithm Interactive evolutionary computation computer.software_genre Machine learning Fuzzy logic Evolutionary computation Ad text optimization Genetic algorithm ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Artificial intelligence business computer Natural language processing media_common Meaning (linguistics) |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319262109 IWIFSGN@FQAS |
| DOI: | 10.1007/978-3-319-26211-6_25 |
| Popis: | The description of a product or an ad’s text can be rewritten in many ways if other text fragments similar in meaning substitute different words or phrases. A good selection of words or phrases, composing an ad, is very important for the creation of an advertisement text, as the meaning of the text depends on this and it affects in a positive or a negative way the interest of the possible consumers towards the advertised product. In this paper we present a method for the optimization of advertisement texts through the use of interactive evolutionary computing techniques. The EvoSpace platform is used to perform the evolution of a text, resulting in an optimized text, which should have a better impact on its readers in terms of persuasion. |
| Databáze: | OpenAIRE |
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