Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)

J Memon, M Sami, RA Khan, M Uddin - IEEE access, 2020 - ieeexplore.ieee.org
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Automatic detection of offensive language for urdu and roman urdu

MP Akhter, Z Jiangbin, IR Naqvi, M Abdelmajeed… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, unethical behavior in the cyber-environment has been revealed. The
presence of offensive language on social media platforms and automatic detection of such …

Tuning traditional language processing approaches for Pashto text classification

JA Baktash, M Dawodi, MZ Joya… - arXiv preprint arXiv …, 2023 - arxiv.org
Today text classification becomes critical task for concerned individuals for numerous
purposes. Hence, several researches have been conducted to develop automatic text …

A semantic-based feature extraction method using categorical clustering for Persian document classification

S Davoudi, S Mirzaei - 2021 26th International Computer …, 2021 - ieeexplore.ieee.org
Natural Language Processing (NLP) is one of the promising fields of artificial intelligence. In
recent decades, high volume of text data has been generated through the Internet. This kind …

Persian text classification based on deep neural networks

MR Feizi-Derakhshi, Z Mottaghinia… - Soft Computing …, 2022 - scj.kashanu.ac.ir
Nowadays, according to the growing volume of electronic documents, the classification of
text has attracted the attention of information retrieval researchers. Considering the …

[PDF][PDF] Tuning language processing approaches for pashto texts classification

JA Baktash, M Dawodi - 2023 - ijcionline.com
Nowadays, text classification for different purposes becomes a basic task for concerned
people. Hence, much research has been done to develop automatic text classification for the …

Enhancing Pashto Text Classification using Language Processing Techniques for Single And Multi-Label Analysis

M Dawodi, JA Baktash - arXiv preprint arXiv:2305.03201, 2023 - arxiv.org
Text classification has become a crucial task in various fields, leading to a significant amount
of research on developing automated text classification systems for national and …

A Hybrid Deep Learning Model for 5-Digit Handwritten Recognition

AF Babaei, J Tanha, AF Babaei… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Handwritten digit recognition remains a complex challenge in computer vision,
characterized by diverse writing styles, varying distortion levels, and dataset noise. This …

Applying Character-Level Neural Network-Based Sentiment Analysis Model on Persian Comments of the Social Media-Online Store Platforms

O Khalaf Beigi, SA Bashiri Mosavi… - Soft Computing …, 2023 - scj.kashanu.ac.ir
Nowadays, due to people being more willing to shop online through online stores and social
media, we are facing the growth of unstructured data like texts on the internet. Hence, text …

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G Zhang - nhsjs.com
Accurate optical character recognition (OCR) is crucial for many applications such as
digitizing handwritten documents, automating data entries, and real-time text recognition. In …