TY - CHAP
T1 - Sell-Bot
T2 - An Intelligent Tool for Advertisement Synthesis on Social Media
AU - Kabaso, Sonny
AU - Ade-Ibijola, Abejide
N1 - Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Social Media Advertising is one of the fastest ways to reach a large group of targeted customers. In the present day, there are large volumes of advertisement campaigns designed for, and running on Social Media Platforms, yielding significant conversion rates for businesses. Advances in Artificial Intelligence (AI) have offered new techniques for tailoring advertisements towards targeted audiences. Some of these techniques include Machine Learning (ML) applications in the analysis of Big Data; acquired from customers spending, and/or buying patterns. Hence, software companies and researchers have created several tools that target specific customers in need of specific products and services. An aspect of AI that has not seen too many applications in Advertising is Natural Language Generation (NLG); the study of algorithms for generating natural or human languages. In this chapter, we present a NLG algorithm for the automatic generation of advertisements for Social Media platforms. This algorithm is implemented in a tool called Sell-Bot that is based on Context-free Grammars; a formal technique for describing or generating languages. This algorithm takes a list of available and currently discounted commercial products and services of an organisation, and intelligently composes a valid Social Media post (a tweet or Facebook post) that is often indistinguishable from a human expert marketer’s tweet or post. An evaluation of Sell-Bot showed that 42% of the participants did not know whether the AI (Sell-Bot) or the human generated the adverts. Sell-Bot is expected to relieve humans of their efforts of posting advertisements on Social Media.
AB - Social Media Advertising is one of the fastest ways to reach a large group of targeted customers. In the present day, there are large volumes of advertisement campaigns designed for, and running on Social Media Platforms, yielding significant conversion rates for businesses. Advances in Artificial Intelligence (AI) have offered new techniques for tailoring advertisements towards targeted audiences. Some of these techniques include Machine Learning (ML) applications in the analysis of Big Data; acquired from customers spending, and/or buying patterns. Hence, software companies and researchers have created several tools that target specific customers in need of specific products and services. An aspect of AI that has not seen too many applications in Advertising is Natural Language Generation (NLG); the study of algorithms for generating natural or human languages. In this chapter, we present a NLG algorithm for the automatic generation of advertisements for Social Media platforms. This algorithm is implemented in a tool called Sell-Bot that is based on Context-free Grammars; a formal technique for describing or generating languages. This algorithm takes a list of available and currently discounted commercial products and services of an organisation, and intelligently composes a valid Social Media post (a tweet or Facebook post) that is often indistinguishable from a human expert marketer’s tweet or post. An evaluation of Sell-Bot showed that 42% of the participants did not know whether the AI (Sell-Bot) or the human generated the adverts. Sell-Bot is expected to relieve humans of their efforts of posting advertisements on Social Media.
KW - Advert synthesis
KW - Advertising
KW - Context-free grammar
KW - Natural language generation
KW - Procedural generation
KW - Social media
KW - Synthesis of things
UR - http://www.scopus.com/inward/record.url?scp=85088457225&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-48230-5_7
DO - 10.1007/978-3-030-48230-5_7
M3 - Chapter
AN - SCOPUS:85088457225
T3 - Lecture Notes in Electrical Engineering
SP - 155
EP - 178
BT - Lecture Notes in Electrical Engineering
PB - Springer
ER -