Preferred Language
Articles
/
jcolang-602
A Pragmatic Analysis of the Use of Intensifiers in Charles Dickens’ Hard Times
...Show More Authors

The present study investigates the use of intensifiers as linguisticdevices employed by Charles Dickens in Hard Times. For ease of analysis, the data are obtained by a rigorous observation of spontaneously occurring intensifiers in the text. The study aims at exploring the pragmatic functions and aesthetic impact of using intensifiers in Hard Times.The current study is mainly descriptive analytical and is based on analyzing and interpreting the use of intensifiers in terms ofHolmes (1984) andCacchiani’smodel (2009). From the findings, the novelist overuses intensifiers to the extent that 280 intensifiers are used in the text. These intensifiers(218) are undistinguished emotions constituting 78%,(38)are personalforming 13.5% and (24) intensifiers are specific emotions comprising 8.5%.Also, the analysis shows that 56 different intensifiers are employed in the text with great variety in frequency in the most frequent intensifier is ‘very’, used 90 times, followed by ‘so’, 82 times, and then ‘too’, 15 times as well as other intensifiers such as only, highly, eminently, quite, pretty, most, much and perfectly. The rest of the intensifiers are scarcely used. The study significantly concludes that the use of intensifiers helps contribute to typifying the downside and suffering of people in the Victorian era as such use moves the plot forward so as to discern the way social, economic and political circumstances affect the way the novelist uses intensifiers.This stems from the observation that the very low ratio of personal intensifiers13.5% reflects little subjectivity, if any, and goes in line with the main theme of the novel which is “the people in the Victorian era are like machines without human feelings.” The use ofintensifiers assists in unraveling of the interpretation of Dickens’ feelings, impressions, emotions and attitudestowards the Victorian society and makes the later apt to be criticized.

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Mon Jun 30 2025
Journal Name
Ingénierie Des Systèmes D Information
Comparative Analysis of Four Programming Languages for Machine Learning
...Show More Authors

View Publication
Scopus (2)
Scopus Crossref
Publication Date
Mon Oct 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
symmetric analysis of multiple variables classified ranked orthogonal polynomials
...Show More Authors

MCA has gained a reputation for being a very useful statistical method for determining the association between two or more categorical variables and their graphical description. For performance this method, we must calculate the singular vectors through (SVD). Which is an important primary tool that allows user to construct a low-dimensional space to describe the association between the variables categories. As an alternative procedure to use (SVD), we can use the (BMD) method, which involves using orthogonal polynomials to reflect the structure of ordered categorical responses. When the features of BMD are combined with SVD, the (HD) is formed. The aim of study is to use alternative method of (MCA) that is appropriate with order

... Show More
View Publication Preview PDF
Crossref
Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Clouds Height Classification Using Texture Analysis of Meteosat Images
...Show More Authors

In the present work, pattern recognition is carried out by the contrast and relative variance of clouds. The K-mean clustering process is then applied to classify the cloud type; also, texture analysis being adopted to extract the textural features and using them in cloud classification process. The test image used in the classification process is the Meteosat-7 image for the D3 region.The K-mean method is adopted as an unsupervised classification. This method depends on the initial chosen seeds of cluster. Since, the initial seeds are chosen randomly, the user supply a set of means, or cluster centers in the n-dimensional space.The K-mean cluster has been applied on two bands (IR2 band) and (water vapour band).The textural analysis is used

... Show More
View Publication Preview PDF
Crossref
Publication Date
Wed Jan 01 2025
Journal Name
Lecture Notes In Networks And Systems
Symlet Analysis for ECG-Based Diagnosis of Heart Dysfunction
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Thu Sep 01 2022
Journal Name
Iop Conference Series: Earth And Environmental Science
Water Quality Status of Tigris River Using Index Analysis
...Show More Authors
Abstract<p>This study investigates the effects of Al-Doura oil refinery effluent, in Baghdad city, on the water quality of the Tigris River using the Canadian Water Quality Index (CCME WQI) and Rivers Maintaining System (1967). Water samples were collected monthly from Tigris River at three stations, which are Al-Muthanna Bridge (upstream), Al-Doura Refinery (point source), and Al–Zafaraniya city (downstream) from October 2020 to April 2021. Fourteen water quality parameters were studied, namely pH (6.50-8.10), Water Temperature (WT) (5.00-27.00 °C), Electrical Conductivity (EC) (877.00-1192.00 μs/cm), Dissolved Oxygen (DO) (5.03-7.57 mg/L), Biological Oxygen demand (BOD) (0.53-2.23 mg/L), Total Dissolved S</p> ... Show More
View Publication
Scopus (4)
Crossref (4)
Scopus Crossref
Publication Date
Mon Mar 09 2026
Journal Name
International Journal Of Inventions In Engineering & Science Technology
Sentiment Analysis of Twitter Users Using Deep Learning Models
...Show More Authors

This research suggests a robust and systematic way for Arabic Sentiment Analysis using a vast dataset of 66,666 text reviews. One of the main advantages of this study is that the dataset was perfectly balanced (33,333 positive samples and 33,333 negative samples). In machine learning, this 50/50 split is important because it eliminates class bias and enables the predictive model to treat both sentiment classes equally. As shown in the values of the metrics — overall accuracy, weighted precision, weighted recall, and F1 score — there is great similarity among them, indicating a stable and reliable assessment of the model's real potential throughout the Arabic dataset. Based on data profile, the average word count per review is 42.3

... Show More
View Publication Preview PDF
Crossref
Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
STATISTICAL ANALYSIS OF PATIENTS INFECTED WITH CORONAVIRUS USING MANOVA
...Show More Authors

Scopus (1)
Scopus
Publication Date
Wed Aug 28 2024
Journal Name
Mathematical Modelling Of Engineering Problems
Structural and Stress Analysis of NACA0012 Wing Using SolidWorks
...Show More Authors

View Publication
Scopus (3)
Scopus Crossref
Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
Harold pinter and Iraq: An analysis of war(2003)
...Show More Authors

0

View Publication Preview PDF
Publication Date
Wed Sep 01 2010
Journal Name
Journal Of Engineering
Analysis of Concrete Flexural Members Reinforced with Fibre Polymer
...Show More Authors