A hybrid deep learning model for brain tumour classification

M Rasool, NA Ismail, W Boulila, A Ammar, H Samma… - Entropy, 2022 - mdpi.com
A brain tumour is one of the major reasons for death in humans, and it is the tenth most
common type of tumour that affects people of all ages. However, if detected early, it is one of …

Document clustering

I Cozzolino, MB Ferraro - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Nowadays, the explosive growth in text data emphasizes the need for developing new and
computationally efficient methods and credible theoretical support tailored for analyzing …

Inflectional review of deep learning on natural language processing

SKA Fahad, AE Yahya - 2018 international conference on …, 2018 - ieeexplore.ieee.org
In the age of knowledge, Natural Language Processing (NLP) express its demand by a huge
range of utilization. Previously NLP was dealing with statically data. Contemporary time NLP …

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

SH Haji, A Al-zebari, A Sengur, S Fattah… - Journal of Applied …, 2023 - jastt.org
There has been a meteoric rise in the total amount of digital texts as a direct result of the
proliferation of internet access. As a direct result of this, document clustering has evolved …

Hate speech and abusive laungage detection in twitter and challenges

RM Alhejaili, WMS Yafooz… - 2022 International …, 2022 - ieeexplore.ieee.org
The web'content is increasing every day, especially on social media, where all users can
express their opinions freely and without restrictions. Accordingly, many negative activities …

[PDF][PDF] Design and develop semantic textual document clustering model

SA Fahad, WM Yafooz - Journal of Computer Science, 2017 - researchgate.net
The utilization of textual documents is spontaneously increasing over the internet, email,
web pages, reports, journals, articles and they stored in the electronic database format. It is …

Application for text processing of cardiology medical records

Z Pella, P Milkovič, J Paralič - 2018 World Symposium on …, 2018 - ieeexplore.ieee.org
This paper approaches the problem of processing medical records with the aim of data
analysis from a larger set of domain specific medical data. We solve this problem in …

Unsupervised topic aware document-level semantic representation for document clustering

M Rafi, H Khan, H Nadeem… - 2021 22nd International …, 2021 - ieeexplore.ieee.org
Text representation is critical for a lot of applications in natural/computational language
processing and understanding. Textual documents are the basic unit of communication in …

[PDF][PDF] Deep learning for document clustering: a survey, taxonomy and research trend

L Gabralla, H Chiroma - Journal of Theoretical and Applied Information …, 2020 - jatit.org
Information is stored in several forms such as pictures, web pages, sound and video, but
80% is stored as a text. Quick searching for a specific text document depends totally on the …

The literary theme ontology for media annotation and information retrieval

P Sheridan, M Onsjö, J Hastings - arXiv preprint arXiv:1905.00522, 2019 - arxiv.org
Literary theme identification and interpretation is a focal point of literary studies scholarship.
Classical forms of literary scholarship, such as close reading, have flourished with scarcely …