Po-Miner: Random Poem Generator and Security Model

Abstract

The growing importance of data science and analytics has led to various innovative applications over time. While the data and science remain a challenge, applications solving existing problems have also introduced new obstacles. In this paper, we propose a data science application model called Po-Miner. Po-Miner is a random online poem generator tool based on scraped online web data. Along with syllable counts, rhymes, and other poem notions, Po-Miner induces mathematics and learning into the poem generation. It makes the prediction of the poem generation complex and undefined through the Po-Select algorithm. Though a random poem makes petite sense, the very aspect of randomness brings in the creativity and depth. A security system enforcing a safe transaction is always a need of the hour issue for any system. Though there have been solutions provided from an assortment of domains and methodologies, there is always a noted drawback endowing with scope for improvement. This paper discusses Po-Miner as an alternative and enhancement to the one-time password system as its application. The paper presents the Po-Miner model, implementation, poems, and analysis, and then its applicability in the security domain. The paper presents the Po-Select implementation along with sample created poems. Po-Miner appears to be a promising application that can be extended to several other areas.