Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

remove_circle_outline

Search Results (2)

Search Parameters:
Keywords = Arabic topic discovery

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
42 pages, 2290 KB  
Review
The Essential Oil-Bearing Plants in the United Arab Emirates (UAE): An Overview
by Suzan Marwan Shahin, Abdul Jaleel and Mohammed Abdul Muhsen Alyafei
Molecules 2021, 26(21), 6486; https://doi.org/10.3390/molecules26216486 - 27 Oct 2021
Cited by 14 | Viewed by 12320
Abstract
Essential Oils (EOs) are expensive hydrocarbons produced exclusively by specific species in the plant kingdom. Their applications have deep roots in traditional herbal medicine, which lacks scientific evidence. Nowadays, more than ever, there is a growing global interest in research-based discoveries that maintain [...] Read more.
Essential Oils (EOs) are expensive hydrocarbons produced exclusively by specific species in the plant kingdom. Their applications have deep roots in traditional herbal medicine, which lacks scientific evidence. Nowadays, more than ever, there is a growing global interest in research-based discoveries that maintain and promote health conditions. Consequently, EOs became a much attractive topic for both research and industry, with revenues reaching billions of dollars annually. In this work, we provide key guidance to all essential oil-bearing plants growing in the United Arab Emirates (UAE). The comprehensive data were collected following an extensive, up-to-date literature review. The results identified 137 plant species, including indigenous and naturalized ones, in the UAE, citing over 180 published research articles. The general overview included plant botanical names, synonyms, common names (Arabic and English), families and taxonomic authority. The study acts as a baseline and accelerator for research, industry and discoveries in multiple disciplines relying on essential oil-bearing plants. Full article
Show Figures

Figure 1

14 pages, 519 KB  
Article
Semantic Ontology-Based Approach to Enhance Arabic Text Classification
by Ahmad Hawalah
Big Data Cogn. Comput. 2019, 3(4), 53; https://doi.org/10.3390/bdcc3040053 - 25 Nov 2019
Cited by 16 | Viewed by 6714
Abstract
Text classification is a process of classifying textual contents to a set of predefined classes and categories. As enormous numbers of documents and contextual contents are introduced every day on the Internet, it becomes essential to use text classification techniques for different purposes [...] Read more.
Text classification is a process of classifying textual contents to a set of predefined classes and categories. As enormous numbers of documents and contextual contents are introduced every day on the Internet, it becomes essential to use text classification techniques for different purposes such as enhancing search retrieval and recommendation systems. A lot of work has been done to study different aspects of English text classification techniques. However, little attention has been devoted to study Arabic text classification due to the difficulty of processing Arabic language. Consequently, in this paper, we propose an enhanced Arabic topic-discovery architecture (EATA) that can use ontology to provide an effective Arabic topic classification mechanism. We have introduced a semantic enhancement model to improve Arabic text classification and the topic discovery technique by utilizing the rich semantic information in Arabic ontology. We rely in this study on the vector space model (term frequency-inverse document frequency (TF-IDF)) as well as the cosine similarity approach to classify new Arabic textual documents. Full article
Show Figures

Figure 1

Back to TopTop