SENTIMENT RETRIEVAL OF HEALTH RECORDS USING NLP-BASED ALGORITHM
(4)
Publication Date
Fri Jan 01 2016
Journal Name
Engineering And Technology Journal
Publication Date
Fri Jan 01 2016
Journal Name
Ibn Al-haitham Journal For Pure And Applied Science
Publication Date
Sat Oct 01 2016
Journal Name
2016 6th International Conference On Information Communication And Management (icicm)
(4)
(2)
Publication Date
Wed Mar 08 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Genetic –Based Face Retrieval Using Statistical Features
CBIR
Face Retrieval
Genetic Algorithm
Statistical Features
Wavelet
Content-based image retrieval has been keenly developed in numerous fields. This provides more active management and retrieval of images than the keyword-based method. So the content based image retrieval becomes one of the liveliest researches in the past few years. In a given set of objects, the retrieval of information suggests solutions to search for those in response to a particular description. The set of objects which can be considered are documents, images, videos, or sounds. This paper proposes a method to retrieve a multi-view face from a large face database according to color and texture attributes. Some of the features used for retrieval are color attributes such as the mean, the variance, and the color image's bitmap. In add
... Show MorePublication Date
Tue Jan 01 2013
Journal Name
International Journal Of Computer Applications
Content-based Image Retrieval (CBIR) using Hybrid
Technique
CBIR
feature extraction
properties
color histogram
GLCM
hybrid
similarity measure
Image retrieval is used in searching for images from images database. In this paper, content – based image retrieval (CBIR) using four feature extraction techniques has been achieved. The four techniques are colored histogram features technique, properties features technique, gray level co- occurrence matrix (GLCM) statistical features technique and hybrid technique. The features are extracted from the data base images and query (test) images in order to find the similarity measure. The similarity-based matching is very important in CBIR, so, three types of similarity measure are used, normalized Mahalanobis distance, Euclidean distance and Manhattan distance. A comparison between them has been implemented. From the results, it is conclud
... Show MorePublication Date
Fri Jan 01 2016
Journal Name
Machine Learning And Data Mining In Pattern Recognition
(7)
(5)
Publication Date
Tue Mar 01 2016
Journal Name
International Journal Of Computer Science And Mobile Computing
Publication Date
Thu Jul 02 2026
Journal Name
Innovative Construction And Petrochemical Technologies
Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques
Arabic natural language processing
Arabic text classification
TF-IDF method
Chi-Square feature selection
linear SVM classifier
Logistic Regression
BiLSTM
AraBERT
efficient NLP models
accuracy and efficiency trade-off
Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo
... Show MorePublication Date
Sun Jan 01 2017
Journal Name
International Journal Of Advanced Computer Science And Applications
(8)
Publication Date
Tue May 01 2018
Journal Name
Journal Of Physics: Conference Series
(6)
(1)