The disruptometer: an artificial intelligence algorithm for market insights

• Main Authors: Wan Nordin, Mimi Aminah, Vedenyapin, Dmitry, Alghifari, Muhammad Fahreza, Gunawan, Teddy Surya
• Format: Article
• Language: English; English
• Published: Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section 2019
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/73880/1/73880_The%20Disruptometer-%20An%20Artificial%20Intelligence.pdf; http://irep.iium.edu.my/73880/7/73880_The%20disruptometer-An%20artificial%20intelligence%20algorithm%20for%20market%20insights_Scopus.pdf; http://irep.iium.edu.my/73880/; http://www.beei.org/index.php/EEI/article/view/1494/1084

Social media data mining is rapidly developing to be a mainstream tool for marketing insights in today’s world, due to the abundance of data and often freely accessed information. In this paper, we propose a framework for market research purposes called the Disruptometer. The algorithm uses keywords...