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Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction

Computers, Materials & Continua 2020年第2期62卷 631-655页

作者： Yun Wang Fazli Subhan Shahaboddin Shamshirband Muhammad Zubair Asghar ikram ullahammara habib School of Public Administration Zhengzhou UniversityZhengzhouChina National University of Modern Languages IslamabadPakistan Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityViet Nam Institute of Computing and Information Technology Gomal UniversityD.I.Khan(KP)Pakistan

The feedback collection and analysis has remained an important subject matter for *** traditional techniques for student feedback analysis are based on questionnaire-based data collection and ***,the student expresses their feedback opinions on online social media sites,which need to be *** study aims at the development of fuzzy-based sentiment analysis system for analyzing student feedback and satisfaction by assigning proper sentiment score to opinion words and polarity shifters present in the input *** technique computes the sentiment score of student feedback reviews and then applies a fuzzy-logic module to analyze and quantify student’s satisfaction at the fine-grained *** experimental results reveal that the proposed work has outperformed the baseline studies as well as state-of-the-art machine learning classifiers.

关键词： Student feedback analysis sentiments opinion words polarity shifters lexicon-based

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A Novel Framework for Multi-Classification of Guava Disease

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Computers, Materials & Continua 2021年第11期69卷 1915-1926页

作者： Omar Almutiry Muhammad Ayaz Tariq Sadad ikram Ullah Lali Awais Mahmood Najam Ul Hassan habib Dhahri College of Applied Computer Sciences King Saud University(Almuzahmiyah Branch)Riyadh11564KSA Department of Computer Science University of Central PunjabLahore54000Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Division of Science and Technology University of EducationLahore54000Pakistan Department of Electrical and Computer Engineering Dhofar UniversitySalalahOman

Guava is one of the most important fruits in Pakistan,and is gradually boosting the economy of *** production can be interrupted due to different diseases,such as anthracnose,algal spot,fruit fly,styler end rot and *** diseases are usually detected and identified by visual observation,thus automatic detection is required to assist *** this research,a new technique was created to detect guava plant diseases using image processing techniques and computer *** automated system is developed to support farmers to identify major diseases in *** collected healthy and unhealthy images of different guava diseases from the *** image labeling was done with the help of an expert to differentiate between healthy and unhealthy *** local binary pattern(LBP)was used for the extraction of features,and principal component analysis(PCA)was used for dimensionality *** classification was carried out using multiple classifiers,including cubic support vector machine,Fine K-nearest neighbor(F-KNN),Bagged Tree and RUSBoosted Tree algorithms and achieved 100%accuracy for the diagnosis of fruit flies disease using Bagged ***,the findings indicated that cubic support vector machines(C-SVM)was the best classifier for all guava disease mentioned in the dataset.

关键词： Classification guava disease image processing machine learning

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Is Tuberculosis Treatment Truly Free? A Study to Identify Key Factors Contributing to the Catastrophic Cost of TB Care in Pakistan

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Journal of Tuberculosis Research 2020年第4期8卷 181-198页

作者： Aamer ikram Amna Ali Sana habib Abbasi Nosheen Ashraf Sidra Wali Mohammad Salman Mumtaz A. Khan Naveed Syed Jamil A. Ansari National Institute of Health Islamabad Pakistan Public Health England London UK

Background: The interplay between financial deprivation and tuberculosis (TB) is considered one of the vital socio-economic determinants of disease. This is the first study of its kind to be carried in Pakistan, which aims to identify leading factors contributing towards catastrophic costs of TB diagnosis and management in order to help policy makers. Methodology: From four tertiary care hospitals (TCH) in Islamabad and Rawalpindi, 400 TB patients were interviewed through a cross-sectional survey. The patient’s pre and post-TB income and direct and indirect costs for treatment were analysed following WHO recommendations. Multivariable logistic regression model was used to identify the determinants of catastrophic total cost. Results: For TB management expenditures, the median (interquartile range) of total costs by households was Rs. 58,175 Rs (32,050 - 97,500). At 20% threshold, 67% of TB patient’s households were affected by catastrophic

关键词： Tuberculosis Financial Deprivation Catastrophic Cost

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