Week 1 - Poefier

Ceren Korkmaz
BBM406 Spring 2021 Projects
2 min readApr 11, 2021

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source: https://today.duke.edu/2018/11/bard-or-bot

You had two options to contribute to the development of civilization in ancient times. You were going to be either an artist or a scientist. As the centuries passed, science and art began to intertwine. In the course of the civilization run that lasted for generations, we now listen to the music composed by the machines and listen to the sounds they create. We watched them draw landscapes that were not even and create human figures.

In a world where civilization has developed so much, we made a small start to make our personal contribution to this age and decided to develop a machine learning algorithm. Our subject was literature that attracted everyone’s attention. Since the subject is science, we found it appropriate to work on the age of enlightenment renaissance.

In this work, we have a dataset consisting of the most popular poems of the renaissance period and the modern period. It contains more than 500 poems. We will classify these poems by text analysis method and develop an algorithm that predicts which poem belongs to which period.

Also, our algorithm will classify poems not only by age but also by subject. We will develop an algorithm to decide whether the subject of the poem is love, nature, or something else.

We hope that this study will lead us to future machine learning studies. In this way, we aim to contribute to the development of science and art at the same time and to attract more people to the subject of machine learning.

Dataset

You can reach our dataset from here.

Related Works

Some related works about our project are listed below:

https://www.researchgate.net/publication/278322887_Poem_Classification_Using_Machine_Learning_Approach

https://ruor.uottawa.ca/bitstream/10393/37309/1/Kesarwani_Vaibhav_2018_thesis.pdf

https://arxiv.org/abs/1810.11414

Group Members

Alihan Karatatar - 21904324

Atakan Yüksel - 21627892

Ceren Korkmaz - 21995445

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