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in: Germania 82, 2004, 305-310.
2011 •
2020 •
This study compared different classification algorithms namely SVM-RBF Kernel, SVM-Poly Kernel, NB Multinomial and Random Forest. Datasets were prepared using web crawler from various Nepali news portals as well as from online repository on kaggle.com. News classification task began with news collection. After that pre-processing was done using Natural Language Tool Kit (NLTK) in which special symbols and stop words were removed, tokenization of keywords was done. Word stemming was carried out with the help of Lovins Stemmer. Finally four different classification algorithms (SVM-RBF Kernel, SVM-Poly Kernel, NB Multinomial and Random Forest) were implemented and compared on the basis of evaluation metrics Accuracy, Precision, Recall and F-Measure. Among them SVM-Poly Kernel outperformed remaining three algorithms with Accuracy 82.76%, Precision 82.9%, Recall 82.8 % and F-Measure 82.7%. Keywords— Nepali News Classification, SVM-Poly Kernel, SVM-RBF Kernel, NB Multinomial, Random Forest
Applied Physics Letters
A simple electrical test method to isolate viscoelasticity and creep in capacitive microelectromechanical switches2014 •
In this paper we present a component-based approach for treating activities as first-class citizens in Web applications. We discuss the evolution of Web applications from simple read-only navigation to complex behavioral software, with form-based activities as a basic unit of work. It makes reuse based on the traditional building blocks of Web applications like servlets, difficult or impossible, and Web application development more complex. To solve these problems, we introduce activity components and a component framework governing ...
Investment Management and Financial Innovations
Credit risk estimate using internal explicit knowledge2017 •
Jordanian banks traditionally use a set of indicators, based on their internal explicit knowledge to examine the credit risk caused by default loans of individual borrowers. The banks are reliant on the personal and financial information of the borrowers, obtained by knowing them, often referred as internal explicit knowledge. Internal explicit knowledge characterizes both financial and non-financial indicators of individual borrowers, such as; loan amount, educational level, occupation, income, marital status, age, and gender. The authors studied 2755 default or non-performing personal loan profiles obtained from Jordanian Banks over a period of 1999 to 2014. The results show that low earning unemployed borrowers are very likely to default and contribute to non-performing loans by increasing the chances of credit risk. In addition, it is found that the unmarried, younger borrowers and moderate loan amount increase the probability of non-performing loans. On the contrary, borrowers ...
Medical research archives
Effect of Biphasic kHz Field Stimulation on CA1 Pyramidal Neurons in Slices2022 •
Canadian Water Resources Journal / Revue canadienne des ressources hydriques
An overview of river flood forecasting procedures in Canadian watersheds2019 •
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JPAIR Multidisciplinary Research
Entrepreneurial and Technical Capability in Relation to Productivity: Basis for Resource Generation Development Plan2012 •
The Journal of Japan Gnathology
Use of Radiographic Examinations in Implant Treatment1994 •
The Journal of nutritional biochemistry
The human natural killer-1 (HNK-1) glycan mimetic ursolic acid promotes functional recovery after spinal cord injury in mouse2018 •
African Journal of Food, Agriculture, Nutrition and Development
Effects of proportional high-protein/low-carbohydrate formulated diet consumption in diabetic rats: Beneficial impact on glycemic and weight controlItinerarius Reflectionis
A Filosofia, Criação De Conceitos e a Educação Na Sociedade Capitalista2008 •