On poetic topic modeling: extracting themes and motifs from a corpus of Spanish poetry
B Navarro-Colorado - Frontiers in Digital Humanities, 2018 - frontiersin.org
This paper analyzes the application of LDA topic modeling to a corpus of poetry. First, it
explains how the most coherent LDA-topics have been established by running several tests …
explains how the most coherent LDA-topics have been established by running several tests …
[PDF][PDF] Automated analysis of Bangla poetry for classification and poet identification
G Rakshit, A Ghosh, P Bhattacharyya… - Proceedings of the 12th …, 2015 - aclanthology.org
Computational analysis of poetry is a challenging and interesting task in NLP. Human
expertise on stylistics and aesthetics of poetry is generally expensive and scarce. In this …
expertise on stylistics and aesthetics of poetry is generally expensive and scarce. In this …
Artificial Intelligence Classification Model for Modern Chinese Poetry in Education
M Zhu, G Wang, C Li, H Wang, B Zhang - Sustainability, 2023 - mdpi.com
Various modern Chinese poetry styles have influenced the development of new Chinese
poetry; therefore, the classification of poetry style is very important for understanding these …
poetry; therefore, the classification of poetry style is very important for understanding these …
Punjabi poetry classification: the test of 10 machine learning algorithms
Literature of country represents the prosperity of that country. India, being a multilingual
country, is having a rich heritage and literature. In order to retrieve literature pieces easily, it …
country, is having a rich heritage and literature. In order to retrieve literature pieces easily, it …
[HTML][HTML] A deep learning classification model for Persian Hafez poetry based on the poet's era
More than any other literary genre, poetry presents a significant challenge for Natural
Language Processing (NLP) algorithms. Small poetries in the Persian language are called …
Language Processing (NLP) algorithms. Small poetries in the Persian language are called …
[PDF][PDF] Designing punjabi poetry classifiers using machine learning and different textual features.
Analysis of poetic text is very challenging from computational linguistic perspective.
Computational analysis of literary arts, especially poetry, is very difficult task for …
Computational analysis of literary arts, especially poetry, is very difficult task for …
Metaphor detection in a poetry corpus
Metaphor is indispensable in poetry. It showcases the poet's creativity, and contributes to the
overall emotional pertinence of the poem while honing its specific rhetorical impact …
overall emotional pertinence of the poem while honing its specific rhetorical impact …
Automatic extraction of similar poetry for study of literary texts: An experiment on Hindi poetry
The study of literary texts is one of the earliest disciplines practiced around the globe. Poetry
is artistic writing in which words are carefully chosen and arranged for their meaning, sound …
is artistic writing in which words are carefully chosen and arranged for their meaning, sound …
Smells like teen spirit: an exploration of sensorial style in literary genres
O Khalid, P Srinivasan - arXiv preprint arXiv:2209.12352, 2022 - arxiv.org
It is well recognized that sensory perceptions and language have interconnections through
numerous studies in psychology, neuroscience, and sensorial linguistics. Set in this rich …
numerous studies in psychology, neuroscience, and sensorial linguistics. Set in this rich …
[PDF][PDF] # GraphPoem: Automatic Classification of Rhyme and Diction in Poetry
V Kesarwani, D Inkpen… - Interférences littéraires …, 2021 - interferenceslitteraires.be
Vaibhav Kesarwani, Diana Inkpen & Chris Tanasescu (MARGENTO) #GraphPoem: Automatic
Classification of Rhyme and Diction in P Page 1 Vaibhav Kesarwani, Diana Inkpen & Chris …
Classification of Rhyme and Diction in P Page 1 Vaibhav Kesarwani, Diana Inkpen & Chris …