Neural text similarity of user reviews for improving collaborative filtering recommender systems
According to the advent of technology and the expansion of using the World Wide Web,
there has been an enormous increase in the number of Internet retailers and their …
there has been an enormous increase in the number of Internet retailers and their …
[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 …
Parallel stylometric document embeddings with deep learning based language models in literary authorship attribution
This paper explores the effectiveness of parallel stylometric document embeddings in
solving the authorship attribution task by testing a novel approach on literary texts in 7 …
solving the authorship attribution task by testing a novel approach on literary texts in 7 …
[PDF][PDF] Type-and Token-based Word Embeddings in the Digital Humanities.
In the general perception of the NLP community, the new dynamic, context-sensitive, token-
based embeddings from language models like BERT have replaced the older static, type …
based embeddings from language models like BERT have replaced the older static, type …
Poet classification using ann and dnn
Since statistical analysis of poetry is a challenging task in Natural Language Processing
(NLP), making inferences about the poets also becomes a very challenging task. In this …
(NLP), making inferences about the poets also becomes a very challenging task. In this …
Deep Learning Techniques for Identifying Poets in Arabic Poetry: A Focus on LSTM and Bi-LSTM
H Shoubaki, S Abdallah, K Shaalan - Procedia Computer Science, 2024 - Elsevier
In this paper, we introduce a comprehensive approach to the classification of Arabic poetry
using deep learning techniques. We utilized a dataset comprising nearly one million records …
using deep learning techniques. We utilized a dataset comprising nearly one million records …
[PDF][PDF] Fine-Tuning BERT for Persian Poet Identification
In this experiment, we have attempted the task of poet identification for four prominent
Persian poets (ie, Hafez, Omar Khayyam, Rumi, and Saadi Shirazi) by fine-tuning the BERT …
Persian poets (ie, Hafez, Omar Khayyam, Rumi, and Saadi Shirazi) by fine-tuning the BERT …